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Difference between revisions of "Newsletter:2006 Winter"

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''Jason Stajich''
 
''Jason Stajich''
  
===2005 OBF Board Meeting Report===
+
===2005 O|B|F Board Meeting Report===
 +
''Jason Stajich'' & ''Hilmar Lapp''
  
The 2005 Open Bioinformatics Foundation board meeting was held during the [[BOSC 2005]] conference in Detroit, MI.  Several items of buisiness were attended to including several personnel changes.
+
The 2005 Open Bioinformatics Foundation board meeting was held during the [[BOSC 2005]] conference in Detroit, MI.  Several items of business were attended to including several personnel changes.
  
* Past President [[Ewan Birney]] was replaced by [[Jason Stajich]]
+
* Past President [[Ewan Birney]] resigned and elected into the Board as at-large director
* [[Hilmar Lapp]] was elected parlimentarian
+
* [[Jason Stajich]] was newly elected into the Board and elected President
* [[Ewan Birney]] was added as an at-large
+
* [[Hilmar Lapp]] was elected parliamentarian
  
In addition the Board agreed to guidelines for [[Membership requirements]] for [[OBF members]].
+
Most importantly, the Board agreed to [[Bylaws|bylaws]] governing the [[Board|OBF Board]], [[Project:Membership application|OBF membership]] as well as elections. This marks a defining moment in the history of O|B|F, as for the first time a defined mechanism exists through which any member can gain governing office, and volunteer his or her leadership to help shape the future of the OBF. The O|B|F is ready to redefine the scope of its vision and agenda. We extend an invitation to every interested person to play a role in this endeavor, as a member or as a leader and decision maker.
 +
 
 +
A broader agenda, like to facilitate and sponsor project interactions that are otherwise impossible, will inevitably require adequate funding resources. Therefore, as one of its future tasks the Board will need to creatively and aggressively seek funding opportunities.
  
 
===Financial Overview===
 
===Financial Overview===
Line 40: Line 43:
  
 
==O|B|F Projects Reports==
 
==O|B|F Projects Reports==
===CGL===
 
''Contributed by [[bp:Mark Yandell|Mark Yandell]]''
 
 
====About CGL:  the Comparative Genomics Library====
 
[[bp:CGL|CGL]] is an open source software library for comparative genomics using genome annotations. The library is designed to employ the contents of genome-annotation databases for purposes of large-scale inquiries into the structure, function and evolution of genes. To facilitate these analyses, CGL provides three core functionalities. First, CGL can convert the annotations of many different providers into a single standardized format (Chaos.xml); thus the software can be used to assemble very large repositories of annotations that encompass the contents of multiple genome databases. Second, the library extends the bioperl HSP objects so that information about annotated gene-structures is mapped to sequence alignments. Finally, CGL can make use of existing annotations to in extract information about gene structure from unannotated, partially assembled genomes.
 
For more information downloading and using CGL go [http://www.yandell-lab.org/cgl www.yandell-lab.org/cgl].
 
 
====Current Release====
 
Get the latest release of CGL from [http://www.yandell-lab.org/cgl www.yandell-lab.org/cgl].
 
 
Have a look at the main reference for CGL:
 
Large-Scale Trends in the Evolution of Gene Structures within 11 Animal Genomes
 
[[bp:Mark Yandell|Mark Yandell]], [[bp:Chris Mungall|Chris J. Mungall]], Chris Smith, Simon Prochnik , Joshua Kaminker, George Hartzell, [[bp:Suzanna Lewis|Suzanna Lewis]] and Gerald M. Rubin. ''In press'' [http://compbiol.plosjournals.org PloS Computational Biology].
 
 
====Contactt us====
 
General questions and comments about CGL should be directed to [mailto:myandell_AT_fruitfly.org myandell-at-fruitfly.org].
 
  
 
===BioJava===
 
===BioJava===
''Contributed by Mark Schreiber''
+
''Contributed by [[Mark Schreiber]]''
 
====Biojava in 2005====
 
====Biojava in 2005====
 
2005 saw an increasing amount of activity for biojava. The long awaited [http://www.biojava.org/download14.html biojava1.4] was finally released in June which re-energised the project. A big spike in web activity for the biojava web-site was observed shortly after the release. Hits per day increased from about 6000 per day to about 10K per day after the release. The binary (JAR) distribution of biojava 1.4 has been downloaded more than 4000 times since it's release with a typical month seeing about 700 downloads.
 
2005 saw an increasing amount of activity for biojava. The long awaited [http://www.biojava.org/download14.html biojava1.4] was finally released in June which re-energised the project. A big spike in web activity for the biojava web-site was observed shortly after the release. Hits per day increased from about 6000 per day to about 10K per day after the release. The binary (JAR) distribution of biojava 1.4 has been downloaded more than 4000 times since it's release with a typical month seeing about 700 downloads.
Line 85: Line 72:
  
 
Another area for development in 2006 will be improving biojava's abilities in data integration and interaction with semantic web technologies like [http://www.w3.org/RDF/ RDF] by building on code developed by Matthew Pocock when he was experimenting with his bjv2 API.
 
Another area for development in 2006 will be improving biojava's abilities in data integration and interaction with semantic web technologies like [http://www.w3.org/RDF/ RDF] by building on code developed by Matthew Pocock when he was experimenting with his bjv2 API.
 +
 +
===BioMOBY===
 +
''Contributed by [[Mark Wilkinson]]''
 +
 +
In 2005, Bio[[Moby]] enjoyed its most successful year so far!  This was the year that it emerged from its adolescence as "just an amusing prototype", to mature into a serious codebase with a rigorous test suite, increasingly comprehensive documentation, and a formal RFC procedure for code changes.  The number of independent Moby Web Service registries has grown to 5 (Canada, Germany, Spain, Australia, and the Philippines), and the number of interoperable services in the primary public registry at UBC in Vancouver exceeds 500.  Powerful and intuitive tooling for service providers and for end-users has also become available in the past year, lowering the bar for participation and use, and greatly enhancing the accessibility of the BioMoby platform for the "newbie".  The BioMoby community of core developers has doubled this year, and we have continued the tradition of having face-to-face developers meetings every 6 months to ensure that the project does not stagnate.  Moby continues to enjoy a strong base of financial support from the original Genome Canada award, and from a strong and productive collaboration with the UK-based myGrid project, in addition to the many participating members worldwide who invest their own resources into tooling and core code improvements.  We predict that 2006 will be the year that BioMoby truly appears on the biologist's radar and starts making a difference to the lives of researchers around the world!
  
 
===BioPerl===
 
===BioPerl===
Line 95: Line 87:
 
On the community side a small group of dedicated supporters continued to man the bioperl-l mailing list, which receives a steady stream of queries. The most exciting news in this area is the new Wiki-based BioPerl site which has been created in the last few months and will be released in January 2006.
 
On the community side a small group of dedicated supporters continued to man the bioperl-l mailing list, which receives a steady stream of queries. The most exciting news in this area is the new Wiki-based BioPerl site which has been created in the last few months and will be released in January 2006.
  
===GMOD===
+
===Biopython===
''Contributed by [[Scott Cain]]''  
+
''Contributed by Iddo Friedberg [http://iddo-friedberg.org]''
  
The Generic Model Organism Database ([[GMOD]]) Project is a largely open source project to develop a complete set of software for creating and administering a model organism database. Components of this project include genome visualization and editing tools, literature curation tools, a robust database schema (known as Chado), and a generic web front end.  Several established model organism databases contribute to the project, including WormBase, the [http://www.yeastgenome.org Saccharomyces Genome Database], [http://www.flybase.net FlyBase], [http://www.gramene.org Gramene], [http://www.arabidopsis.org TAIR], the [http://rgd.mcw.edu/ Rat Genome Database], and [http://ecocyc.org/ EcoCyc].  Many components of GMOD rely on [[BioPerl]], including one of the "flagship" projects, the [[Gbrowse|Generic Genome Browser (GBrowse)]], the widely adopted, web-based genome feature visualizer. Over 150 organizations have adopted some tools from GMOD.
+
Biopython [http://biopython.org] has had two releases in 2005, both comprising of major additions to the code base. With 518 members subscribed to the general mailing list, and 210 on the developers list, Biopython has grown to become an important tool for the computational biology community. Traffic on the developers list is high, with contributions and patches submitted on a weekly basis. Currently the project comprises of some 237,000 lines of code.
  
===Chado===
+
One of Python's [http://python.org] advantages is its ease of use and mild learning curve, which makes it an ideal language for life scientists who wish to program. However, Biopython's documentation, as in many voluntary collaborative projects, has sorely been lagging behind development. Thanks to efforts made by a few of our members, the documentation basis has been greatly improved. We see the impact of this in the mailing list, where many emails start with a variation of "I am new to programming and to Python, and I have been using Biopython so far and it is great! I just have one problem..." (We sometimes even manage to help with that one problem). Ease of use has also made Biopython a tool of choice for teaching Bioinformatics [http://biopython.org/documentation/].
''add stuff here from Chris Mungall about chado, including a few adopting orgs, like [http://www.dictybase.org/ dictyBase] and [http://paramecium.cgm.cnrs-gif.fr/db/index ParameciumDB]''
 
  
===Contact info===
+
Biopython's ease of use does not mean it is a beginner's tool only. Biopython is very comprehensive, having parsers for all major sequence formats; mmCIF and PDB parsers for structures; pairwise and multiple sequence alignment suites; machine learning tools, and more. Most major bioinformatics databases have an associated Biopython module.
For more information, please see [http://www.gmod.org www.gmod.org] or contact Scott Cain ([mailto:cain_A@T_cshl.edu cain@cshl.edu]).
 
  
===PISE===
+
About 20 new modules were added in 2005. Notable newcomers are an NCBI XML parser, a BLAT parser, a MEME parser... For a full list please see the release notes [http://biopython.org/].
''Contributed by Catherine Letondal''
 
  
[[PISE]]
+
Several projects which use Biopython in their code base are:
  
===BioPython===
+
* Joined Assessment of Functional Annotation (JAFA) [http://jafa.burnham.org]
''Contributed by [[Iddo Friedberg]]''
+
* Text mining tools at Stanford University [http://bionlp.stanford.edu/]
 +
* The '''TRA'''ns'''M'''embrane-'''P'''rotein '''L'''abelling '''E'''nvironment from BioDec [http://www.biodec.com/products]
 +
* The upcoming Schneider suite [http://schneider.sourceforge.net/]
 +
* A Google homepage script for calculating oligo melting temperatures: [http://www.bioinformatica.info/modules.php?op=modload&name=News&file=article&sid=301&mode=thread&order=0&thold=0]
  
[[BioPython]]
+
Many thanks to all the contributors, too numerous to be mentioned here [http://biopython.org/participants/].
 +
The  2005 releases were managed by Iddo Friedberg[http://iddo-friedberg.org] (1.40 beta) and Michiel de Hoon [http://bonsai.ims.u-tokyo.ac.jp/~mdehoon/] (1.41).
  
[[BioPython]] has had two releases in 2005, both comprising of major additions to the code base. With 518 members subscribed to the general mailing list, and 210 on the developers list, BioPython has grown to become an important tool for computational biology. Traffic on the developers list is high, with contributions and patches submitted on a weekly basis. Currently the project comprises of some 237,000 lines of code.
+
===BioSQL===
 +
''Contributed by Hilmar Lapp''
  
Python's forte is it's ease of use for non-programmers, which makes it an ideal language for life scientists who wish to program. On the other hand, [[BioPython]]'s documentation, as in many collaborative projects, has sorely been lagging behind developement. Thanks to efforts made by a few of our members, the  documentation basis has been greatly improved. We see the impact of this in the mailing list, where many emails start with "I am new to programming and to Python, and I have been using Biopython so far and it is great! I just have one problem..." (We sometimes even manage to help with that one problem).  
+
BioSQL is a generic relational model for storing biological sequences, their features and annotation, and terms belonging to an ontology or controlled vocabulary. The [http://cvs.open-bio.org/cgi-bin/viewcvs/viewcvs.cgi/*checkout*/biosql-schema/doc/biosql-ERD.pdf?content-type=application/pdf model] imposes a unifying view on data sources as diverse as UniProt, GenBank, Unigene, or LocusLink (or Entrez Gene). BioSQL is the [http://open-bio.org/bosc2003/slides/Persistent_Bioperl_BOSC03.pdf designated persistence API] between the Bio* toolkits.
  
About 20 new modules were added in 2005, and for a full list please see the release notes [http://biopython.org/].
+
Originally created by [[Ewan Birney]] in 2001 to de/serialize [[bp:BioPerl|BioPerl]] sequence objects, the present revision of the BioSQL schema is primarily the result of a major review of the model by [[Hilmar Lapp]] and [[bp:Aaron Mackey|Aaron Mackey]] at the Singapore Hackathon in 2003. Except for very minor changes, the model has essentially been stable since then and will be named 1.0 upon official release. Several post-1.0 extensions have already been discussed.
  
===DAS===
+
BioSQL is being used at multiple places worldwide, both academic and commercial. It has been used as a component in several published scientific works; a [http://scholar.google.com/scholar?q=biosql Google Scholar search] returns 30 hits. The schema is fully supported by object-relational bridges for BioPerl ([[bp:Bioperl_db|Bioperl-db]]) and Biojava (Biojavax). Biopython and Bioruby support BioSQL for storing and retrieving sequence objects, but don't fully leverage the ontology model. The release of the 1.0 version of the model is imminent, and an article describing the model and its strengths is in preparation. Both will hopefully further increase its consideration and adoption by developers and scientists in the life science field.
[[DAS]]
 
 
 
===BioMOBY===
 
''Contributed by Mark Wilkinson''
 
 
 
In 2005, Bio[[Moby]] enjoyed its most successful year so far!  This was the year that it emerged from its adolescence as "just an amusing prototype", to mature into a serious codebase with a rigorous test suite, increasingly comprehensive documentation, and a formal RFC procedure for code changes.  The number of independent Moby Web Service registries has grown to 5 (Canada, Germany, Spain, Australia, and the Philippines), and the number of interoperable services in the primary public registry at UBC in Vancouver exceeds 500. Powerful and intuitive tooling for service providers and for end-users has also become available in the past year, lowering the bar for participation and use, and greatly enhancing the accessibility of the BioMoby platform for the "newbie". The BioMoby community of core developers has doubled this year, and we have continued the tradition of having face-to-face developers meetings every 6 months to ensure that the project does not stagnate. Moby continues to enjoy a strong base of financial support from the original Genome Canada award, and from a strong and productive collaboration with the UK-based myGrid project, in addition to the many participating members worldwide who invest their own resources into tooling and core code improvements. We predict that 2006 will be the year that BioMoby truly appears on the biologist's radar and starts making a difference to the lives of researchers around the world!
 
  
 +
Contact: The project home page is at http://www.biosql.org. The mailing list is biosql-l@open-bio.org.
  
 
===BlipKit===
 
===BlipKit===
''Chris Mungall''
+
''Contributed by [[Chris Mungall]]''
  
  
Line 153: Line 142:
  
 
http://www.bioprolog.org
 
http://www.bioprolog.org
 +
 +
===CGL===
 +
''Contributed by [[bp:Mark Yandell|Mark Yandell]]''
 +
 +
====About CGL:  the Comparative Genomics Library====
 +
[[bp:CGL|CGL]] is an open source software library for comparative genomics using genome annotations. The library is designed to employ the contents of genome-annotation databases for purposes of large-scale inquiries into the structure, function and evolution of genes. To facilitate these analyses, CGL provides three core functionalities. First, CGL can convert the annotations of many different providers into a single standardized format (Chaos.xml); thus the software can be used to assemble very large repositories of annotations that encompass the contents of multiple genome databases. Second, the library extends the bioperl HSP objects so that information about annotated gene-structures is mapped to sequence alignments. Finally, CGL can make use of existing annotations to in extract information about gene structure from unannotated, partially assembled genomes.
 +
For more information downloading and using CGL go [http://www.yandell-lab.org/cgl www.yandell-lab.org/cgl].
 +
 +
====Current Release====
 +
Get the latest release of CGL from [http://www.yandell-lab.org/cgl www.yandell-lab.org/cgl].
 +
 +
Have a look at the main reference for CGL:
 +
Large-Scale Trends in the Evolution of Gene Structures within 11 Animal Genomes
 +
[[bp:Mark Yandell|Mark Yandell]], [[bp:Chris Mungall|Chris J. Mungall]], Chris Smith, Simon Prochnik , Joshua Kaminker, George Hartzell, [[bp:Suzanna Lewis|Suzanna Lewis]] and Gerald M. Rubin. ''In press'' [http://compbiol.plosjournals.org PloS Computational Biology].
 +
 +
====Contact us====
 +
General questions and comments about CGL should be directed to [mailto:myandell_AT_fruitfly.org myandell-at-fruitfly.org].
 +
 +
===DAS===
 +
[[DAS]]
 +
 +
===GMOD===
 +
''Contributed by [[Scott Cain]]''
 +
 +
The Generic Model Organism Database ([[GMOD]]) Project is a largely open source project to develop a complete set of software for creating and administering a model organism database. Components of this project include genome visualization and editing tools, literature curation tools, a robust database schema (known as Chado), and a generic web front end.  Several established model organism databases contribute to the project, including WormBase, the [http://www.yeastgenome.org Saccharomyces Genome Database], [http://www.flybase.net FlyBase], [http://www.gramene.org Gramene], [http://www.arabidopsis.org TAIR], the [http://rgd.mcw.edu/ Rat Genome Database], and [http://ecocyc.org/ EcoCyc].  Many components of GMOD rely on [[BioPerl]], including one of the "flagship" projects, the [[Gbrowse|Generic Genome Browser (GBrowse)]], the widely adopted, web-based genome feature visualizer.  Over 150 organizations have adopted some tools from GMOD.
 +
 +
====Chado====
 +
 +
Chado is a relational schema for model organisms designed around the principles of modularity and extensibility via ontologies. The sequence module lies at the core of the schema, and is used for representing genomic features, their relationships and properties. In 2005 the phylogeny module was added, and the genetics and phenotypes modules were put into use by [http://www.flybase.org/ FlyBase].
 +
 +
''add stuff here from Scott Cain about chado, including a few adopting orgs, like [http://www.tigr.org/ TIGR] [http://www.dictybase.org/ dictyBase] and [http://paramecium.cgm.cnrs-gif.fr/db/index ParameciumDB]. [http://www.nescent.org/ NESCENT] are considering Chado for evolutionary model organisms''
 +
 +
===PISE===
 +
''Contributed by Catherine Letondal''
 +
 +
[[PISE]]
 +
 +
[http://www.pasteur.fr/recherche/unites/sis/Pise/ Pise] is an interface generator for programs running under Unix. More precisely, it is a software system which, given an XML description of a program's parameters, generates source code for a user interface, as a component of a system where the user can easily chain programs by pull-down menus. A perl/[[BioPerl]] API generator has also been developed as well as a Python/[[BioPython]] API.
 +
 +
About 300 molecular biology programs have been defined under Pise, including various sequence analysis, phylogeny, alignment, structural analysis (RNA, secondary and tertiary structure) and gene prediction programs. Pise has been in production for more than 8 years at the [http://www.pasteur.fr Pasteur Institute] (about 1500 submitted jobs a day during the last year) ([http://bioweb.pasteur.fr/ bioweb.pasteur.fr]). The whole system, e.g generators and the complete set of already defined interfaces is also installed in several other sites, namely for interfacing [[EMBOSS]] programs. Other users have developed new programs' interfaces (in genetic analysis, primer design, and imaging analysis). We are also aware of projects for building a new GUI generator.
 +
 +
The project is now evolving towards a rewritten version, called Mobyle. Mobyle is programmed in Python in a more robust and maintainable way. It extends the wrapping mechanism to  Web servers and Web services (mainly using Biomoby). The web portal will provide more advanced navigation features, enabling the user to search for services or re-use uploaded data and parameterizing.  See [1] for a more detailed description.
 +
 +
[1]  B.Neron, P. Tuffery, C.Letondal (2005) [http://www.pasteur.fr/~letondal/Mobyle/neron_nettab.pdf Mobyle: a Web portal framework for bioinformatics analyses], poster presented at NETTAB 2005.
  
 
----
 
----
 
''Newsletter edited by [[bp:Jason Stajich|Jason Stajich]]''
 
''Newsletter edited by [[bp:Jason Stajich|Jason Stajich]]''

Latest revision as of 20:26, 8 February 2006

Winter 2006 Open Bioinformatics Foundation Newsletter

Open Bioinformatics Foundation Report

President's Report

Jason Stajich

2005 O|B|F Board Meeting Report

Jason Stajich & Hilmar Lapp

The 2005 Open Bioinformatics Foundation board meeting was held during the BOSC 2005 conference in Detroit, MI. Several items of business were attended to including several personnel changes.

  • Past President Ewan Birney resigned and elected into the Board as at-large director
  • Jason Stajich was newly elected into the Board and elected President
  • Hilmar Lapp was elected parliamentarian

Most importantly, the Board agreed to bylaws governing the OBF Board, OBF membership as well as elections. This marks a defining moment in the history of O|B|F, as for the first time a defined mechanism exists through which any member can gain governing office, and volunteer his or her leadership to help shape the future of the OBF. The O|B|F is ready to redefine the scope of its vision and agenda. We extend an invitation to every interested person to play a role in this endeavor, as a member or as a leader and decision maker.

A broader agenda, like to facilitate and sponsor project interactions that are otherwise impossible, will inevitably require adequate funding resources. Therefore, as one of its future tasks the Board will need to creatively and aggressively seek funding opportunities.

Financial Overview

Chris Dagdigian

Website and Mailing list statistics

maybe will drop this if I don't have time Jason 16:31, 26 January 2006 (EST)

BOSC Reports

Contributed by Darin London

Each year, the O|B|F sponsors the Bioinformatics Open Source Conference (BOSC) as a Special Interest Group in association with the International Systems in Molecular Biology Conference (ISMB) sponsored by the International Society for Computational Biology (ISCB). The conferences over the last two years have been very successful, and we look forward to continuing to serve the Open Source Bioinformatics Community, and the wider research community in 2006.

BOSC 2004

BOSC 2004 was held along with ISMB 2004 in Glasgow, Scotland. The conference was a great success, with 136 people in attendance. Our Keynote address featured Wolfgang Huber, delivering an inciteful overview of the very popular BioConductor Open Source application system, for which he is responsible. His talk was followed, over the course of two days, by eleven excellent 20-minute presentations selected from a very competitive pool of applicants; a special session on Annotation Database Systems where the leaders in the field discussed their representative projects; and 29 lightning talks. These talks informed us of a huge range of Open Source/Open Standards bioinformatics software development and usage activities within the community, including endeavors devoted to semantically identifying life science objects, easing the process of computationally processing the ever-growing array of biological datasets, integrating disparate datasets, and validating the diverse Open Source software systems available to the research community. As always, attendees were given the opportunity to organize Birds of a Feather discussions devoted to a diverse array of more specialized interests after the main session each day.

BOSC 2005

BOSC 2005 was held in conjunction with ISMB 2005 in Detroit, Michigan. The meeting was very successful, with 99 people in attendance. The meeting featured two Keynote speakers. The first was delivered by Jason Stajich, one of the core developers of BioPerl. He spoke of the challenges and rewards he has experienced in developing Open Source Bioinformatics Software, and discussed the challenges he sees facing Bioinformatics Software developers in the future. The second Keynote address was delivered by Hilmar Lapp, Open Bio Foundation Parliamentarian. He explained the exciting changes that the O|B|F was undergoing in transitioning to a more active not-for-profit organization, and invited BOSC attendees to become involved with the foundation in ways that were not available to them before. Over the course of two days, attendees were provided a wealth of information from 15 excellent 20-minute presentations selected from a very competitive pool of applicants, and 17 lightning talks, speaking on a broad array of topics. Birds of a Feather groups then formed in the afternoon around a variety of specific topics, such as the DAS2 specification, and the various Bio* tools.

BOSC 2006

The BOSC committee is already in the process of planning BOSC 2006, to be held in conjunction with ISMB 2006 in Fortaleza, Brazil. We are looking forward to a great meeting.

O|B|F Projects Reports

BioJava

Contributed by Mark Schreiber

Biojava in 2005

2005 saw an increasing amount of activity for biojava. The long awaited biojava1.4 was finally released in June which re-energised the project. A big spike in web activity for the biojava web-site was observed shortly after the release. Hits per day increased from about 6000 per day to about 10K per day after the release. The binary (JAR) distribution of biojava 1.4 has been downloaded more than 4000 times since it's release with a typical month seeing about 700 downloads.

The new activity has also increased the traffic on the mailing list and has prompted a jump in number of active developers. At the same time career changes work pressures have meant a few of the original lead developers have taken more back seat role. Fortunately, their Oracular wisdom can still be heard from time to time drifting from the mists of the ethernet.

During 2005 the Biojava in Anger site remained popular and saw a big increase in the number of tutorials available. There are now 64 short tutorials which cover most of the questions commonly asked in biojava.

New developments

The release of biojava1.4 also cleared the way for new developments to begin in earnest. Two exciting new developments are the biojavax extensions and the biojava structure package.

Biojavax

Biojavax is an API extension to biojava. It has been designed to extend the core interfaces of biojava without breaking any of the old design. Incompatability between versions has been a key problem with previous biojava releases. The idea is to increase the functionality of the core API, particularly in the areas of file parsing and data persistence. The relationship between biojavax and biojava is best compared to the relationship of javax and java. Javax extends, improves and sometimes deprecates the java API without being essential or breaking old code.

The need for biojavax came about when Richard Holland and I were working on a biojava / biosql model for the dengue virus database dengueinfo. We quickly deficiencies with biojava's biosql interaction model. We also identified areas where flatfile I/O could be improved. Some fixes were made to the code base but we also decided that the biojava core interfaces and I/O model could be usefully extended. We also redesigned the biosql mappings so that all persistence and transactions with biosql are now handled seamlessly by Hibernate. Although still experimental, we hope to have a preview release of biojava1.5 including biojavax by early 2006.

Biojava Structure Package

Beginning in biojava1.4 and continuing to develop is biojava's structure package. The package is designed to allow the I/O of PDB files. Additionally it contains an object model that describes molecular structures and allows for powerful manipulation and transformation of those structures. The main developer of the package is Andreas Prlic who is using it to develop a DAS client for structures called SPICE.

What is planned for 2006?

One of the core goals is to role out biojava1.5 including the biojavax APIs. Following that I would like to extend the work we have done with Hibernate to make use of the Spring Framework. The intended goal is to make biojava able to act as the middleware and/ or data object layer of an enterprise application.

Another area for development in 2006 will be improving biojava's abilities in data integration and interaction with semantic web technologies like RDF by building on code developed by Matthew Pocock when he was experimenting with his bjv2 API.

BioMOBY

Contributed by Mark Wilkinson

In 2005, BioMoby enjoyed its most successful year so far! This was the year that it emerged from its adolescence as "just an amusing prototype", to mature into a serious codebase with a rigorous test suite, increasingly comprehensive documentation, and a formal RFC procedure for code changes. The number of independent Moby Web Service registries has grown to 5 (Canada, Germany, Spain, Australia, and the Philippines), and the number of interoperable services in the primary public registry at UBC in Vancouver exceeds 500. Powerful and intuitive tooling for service providers and for end-users has also become available in the past year, lowering the bar for participation and use, and greatly enhancing the accessibility of the BioMoby platform for the "newbie". The BioMoby community of core developers has doubled this year, and we have continued the tradition of having face-to-face developers meetings every 6 months to ensure that the project does not stagnate. Moby continues to enjoy a strong base of financial support from the original Genome Canada award, and from a strong and productive collaboration with the UK-based myGrid project, in addition to the many participating members worldwide who invest their own resources into tooling and core code improvements. We predict that 2006 will be the year that BioMoby truly appears on the biologist's radar and starts making a difference to the lives of researchers around the world!

BioPerl

Contributed by Brian Osborne

The last 2 years in BioPerl have been characterized by significant acceptance and use by the academic and commercial communities. Up until 2003 roughly 100 papers were published referring to the BioPerl package. Since then more than 200 articles have appeared that cite BioPerl, primarily in the areas of genome annotation and database construction. These figures, and data on Web site use, show a steady increase in the popularity of BioPerl.

On the development side there has been much work on standardizing documentation and increased testing, a full "bug sweep", and a developer's release, version 1.5. In addition some 100 new modules have been added in the last 2 years, for a total of 816 modules and roughly 173,000 lines of code.

On the community side a small group of dedicated supporters continued to man the bioperl-l mailing list, which receives a steady stream of queries. The most exciting news in this area is the new Wiki-based BioPerl site which has been created in the last few months and will be released in January 2006.

Biopython

Contributed by Iddo Friedberg [1]

Biopython [2] has had two releases in 2005, both comprising of major additions to the code base. With 518 members subscribed to the general mailing list, and 210 on the developers list, Biopython has grown to become an important tool for the computational biology community. Traffic on the developers list is high, with contributions and patches submitted on a weekly basis. Currently the project comprises of some 237,000 lines of code.

One of Python's [3] advantages is its ease of use and mild learning curve, which makes it an ideal language for life scientists who wish to program. However, Biopython's documentation, as in many voluntary collaborative projects, has sorely been lagging behind development. Thanks to efforts made by a few of our members, the documentation basis has been greatly improved. We see the impact of this in the mailing list, where many emails start with a variation of "I am new to programming and to Python, and I have been using Biopython so far and it is great! I just have one problem..." (We sometimes even manage to help with that one problem). Ease of use has also made Biopython a tool of choice for teaching Bioinformatics [4].

Biopython's ease of use does not mean it is a beginner's tool only. Biopython is very comprehensive, having parsers for all major sequence formats; mmCIF and PDB parsers for structures; pairwise and multiple sequence alignment suites; machine learning tools, and more. Most major bioinformatics databases have an associated Biopython module.

About 20 new modules were added in 2005. Notable newcomers are an NCBI XML parser, a BLAT parser, a MEME parser... For a full list please see the release notes [5].

Several projects which use Biopython in their code base are:

  • Joined Assessment of Functional Annotation (JAFA) [6]
  • Text mining tools at Stanford University [7]
  • The TRAnsMembrane-Protein Labelling Environment from BioDec [8]
  • The upcoming Schneider suite [9]
  • A Google homepage script for calculating oligo melting temperatures: [10]

Many thanks to all the contributors, too numerous to be mentioned here [11]. The 2005 releases were managed by Iddo Friedberg[12] (1.40 beta) and Michiel de Hoon [13] (1.41).

BioSQL

Contributed by Hilmar Lapp

BioSQL is a generic relational model for storing biological sequences, their features and annotation, and terms belonging to an ontology or controlled vocabulary. The model imposes a unifying view on data sources as diverse as UniProt, GenBank, Unigene, or LocusLink (or Entrez Gene). BioSQL is the designated persistence API between the Bio* toolkits.

Originally created by Ewan Birney in 2001 to de/serialize BioPerl sequence objects, the present revision of the BioSQL schema is primarily the result of a major review of the model by Hilmar Lapp and Aaron Mackey at the Singapore Hackathon in 2003. Except for very minor changes, the model has essentially been stable since then and will be named 1.0 upon official release. Several post-1.0 extensions have already been discussed.

BioSQL is being used at multiple places worldwide, both academic and commercial. It has been used as a component in several published scientific works; a Google Scholar search returns 30 hits. The schema is fully supported by object-relational bridges for BioPerl (Bioperl-db) and Biojava (Biojavax). Biopython and Bioruby support BioSQL for storing and retrieving sequence objects, but don't fully leverage the ontology model. The release of the 1.0 version of the model is imminent, and an article describing the model and its strengths is in preparation. Both will hopefully further increase its consideration and adoption by developers and scientists in the life science field.

Contact: The project home page is at http://www.biosql.org. The mailing list is biosql-l@open-bio.org.

BlipKit

Contributed by Chris Mungall


Blipkit (Biological Logic Programming Knowledge Integration Kit), aka Blip, aka BioProlog, is a new addition to the OBF fold. Blip is an integrated application programming library and a lightweight deductive database system, and contains modules and schemas for representing and using various biological and biomedical datatypes, such as sequence features, phenotypes, pathways and phylogenies/species taxonomies. Blip also has strong support for ontologies (both OBO and OWL).

Some end user scripts and applications are provided, including an AmiGO clone. The current software is in alpha, early adopters are encouraged to view:

http://www.blipkit.org

or the alternate url:

http://www.bioprolog.org

CGL

Contributed by Mark Yandell

About CGL: the Comparative Genomics Library

CGL is an open source software library for comparative genomics using genome annotations. The library is designed to employ the contents of genome-annotation databases for purposes of large-scale inquiries into the structure, function and evolution of genes. To facilitate these analyses, CGL provides three core functionalities. First, CGL can convert the annotations of many different providers into a single standardized format (Chaos.xml); thus the software can be used to assemble very large repositories of annotations that encompass the contents of multiple genome databases. Second, the library extends the bioperl HSP objects so that information about annotated gene-structures is mapped to sequence alignments. Finally, CGL can make use of existing annotations to in extract information about gene structure from unannotated, partially assembled genomes. For more information downloading and using CGL go www.yandell-lab.org/cgl.

Current Release

Get the latest release of CGL from www.yandell-lab.org/cgl.

Have a look at the main reference for CGL: Large-Scale Trends in the Evolution of Gene Structures within 11 Animal Genomes Mark Yandell, Chris J. Mungall, Chris Smith, Simon Prochnik , Joshua Kaminker, George Hartzell, Suzanna Lewis and Gerald M. Rubin. In press PloS Computational Biology.

Contact us

General questions and comments about CGL should be directed to myandell-at-fruitfly.org.

DAS

DAS

GMOD

Contributed by Scott Cain

The Generic Model Organism Database (GMOD) Project is a largely open source project to develop a complete set of software for creating and administering a model organism database. Components of this project include genome visualization and editing tools, literature curation tools, a robust database schema (known as Chado), and a generic web front end. Several established model organism databases contribute to the project, including WormBase, the Saccharomyces Genome Database, FlyBase, Gramene, TAIR, the Rat Genome Database, and EcoCyc. Many components of GMOD rely on BioPerl, including one of the "flagship" projects, the Generic Genome Browser (GBrowse), the widely adopted, web-based genome feature visualizer. Over 150 organizations have adopted some tools from GMOD.

Chado

Chado is a relational schema for model organisms designed around the principles of modularity and extensibility via ontologies. The sequence module lies at the core of the schema, and is used for representing genomic features, their relationships and properties. In 2005 the phylogeny module was added, and the genetics and phenotypes modules were put into use by FlyBase.

add stuff here from Scott Cain about chado, including a few adopting orgs, like TIGR dictyBase and ParameciumDB. NESCENT are considering Chado for evolutionary model organisms

PISE

Contributed by Catherine Letondal

PISE

Pise is an interface generator for programs running under Unix. More precisely, it is a software system which, given an XML description of a program's parameters, generates source code for a user interface, as a component of a system where the user can easily chain programs by pull-down menus. A perl/BioPerl API generator has also been developed as well as a Python/BioPython API.

About 300 molecular biology programs have been defined under Pise, including various sequence analysis, phylogeny, alignment, structural analysis (RNA, secondary and tertiary structure) and gene prediction programs. Pise has been in production for more than 8 years at the Pasteur Institute (about 1500 submitted jobs a day during the last year) (bioweb.pasteur.fr). The whole system, e.g generators and the complete set of already defined interfaces is also installed in several other sites, namely for interfacing EMBOSS programs. Other users have developed new programs' interfaces (in genetic analysis, primer design, and imaging analysis). We are also aware of projects for building a new GUI generator.

The project is now evolving towards a rewritten version, called Mobyle. Mobyle is programmed in Python in a more robust and maintainable way. It extends the wrapping mechanism to Web servers and Web services (mainly using Biomoby). The web portal will provide more advanced navigation features, enabling the user to search for services or re-use uploaded data and parameterizing. See [1] for a more detailed description.

[1] B.Neron, P. Tuffery, C.Letondal (2005) Mobyle: a Web portal framework for bioinformatics analyses, poster presented at NETTAB 2005.


Newsletter edited by Jason Stajich