Welcome to the Genome Informatics Google Summer of Code
“Google Summer of Code is a global program that offers post-secondary student developers ages 18 and older stipends to write code for various open source software projects. We have worked with open source, free software, and technology-related groups to identify and fund projects over a three month period. Since its inception in 2005, the program has brought together over 7000 successful student participants and over 3000 mentors from over 180 countries worldwide, all for the love of code. Through Google Summer of Code, accepted student applicants are paired with a mentor or mentors from the participating projects, thus gaining exposure to real-world software development scenarios and the opportunity for employment in areas related to their academic pursuits. In turn, the participating projects are able to more easily identify and bring in new developers. Best of all, more source code is created and released for the use and benefit of all.”
GSoC has several goals:
- get more open source code created and released for the benefit of all
- inspire young developers to begin participating in open source development
- help open source projects identify and bring in new developers and committers
- provide students the opportunity to do work related to their academic pursuits during the summer
- give students more exposure to real-world software development scenarios.
The Genome Informatics group is organizing the joint efforts of Galaxy, GBrowse, GMOD, JBrowse, Reactome, SeqWare, and Wormbase (see below). This is a great opportunity for students to contribute to the work of any of eight established bioinformatics projects.
- An open, web-based platform for accessible, reproducible, and transparent computational biomedical research. The public Galaxy service makes analysis tools, genomic data, tutorial demonstrations, persistent workspaces, and publication services available to any scientist that has access to the Internet. Local Galaxy servers can be set up by downloading the Galaxy application and customizing it to meet particular needs. Galaxy is implemented in Python. Links: Website.
- Generic Model Organism Database (GMOD)
- An 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, biological ontology tools, and a set of standard operating procedures. This project is collaboration of several database projects, including WormBase, FlyBase, Mouse Genome Informatics, Gramene, the Rat Genome Database, TAIR, EcoCyc, and the Saccharomyces Genome Database. Links: Website, GMOD Blog
- The Generic Genome Browser (GBrowse) is a web application for searching and displaying annotations on genomes. GBrowse was designed from the bottom up for portability, extensibility, and modularity. It relies on no proprietary software, but only readily available open source software such as MySQL and the BioPerl libraries. GBrowse is implemented in Perl. Link: Website.
- PortEco project unifies web access to information and tools about the biology of E. coli, its bacteriophages, plasmids, and mobile genetic elements. PortEco partners include EcoCyc, EcoliWiki, the Stanford Microarray Database, and PANTHER protein families database. PortEco is responsible for maintaining the Gene Ontology annotation of E. coli genes.
- A manually curated database of core pathways and reactions in human biology that functions as a data mining resource and electronic textbook. The Reactome data model describes diverse processes in the human system, including the pathways of intermediary metabolism, regulatory pathways, signal transduction, and high-level processes, such as the cell cycle. Reactome software uses only freely available (and often open source) components and has been created with cross-platform compatibility and wide usability in mind. Data is stored in a MySQL database, the web site is implemented in Perl and data entry tool in Java programming language. The Reactome team is composed of individuals who are both biologists and programmers at the Ontario Institute for Cancer Research, New York University Langone Medical Center, Cold Spring Harbor Laboratory, and The European Bioinformatics Institute. Links: Website, ReactomeWiki .
- SeqWare is a multi-faceted project that includes a developer-friendly workflow development and execution engine (SeqWare Pipeline) along with a NoSQL variant database (SeqWare Query Engine). The system is used by OICR to automate the analysis of a large percentage of the NGS samples processed by the institute. It's our intention to share these workflow with the community and we're using the SeqWare workflow format and reference VM on Amazon to do this. For the GSoC we're interested in integrating the project with Galaxy to use that terrific application as a frontend. We also are interested in exposing the Query Engine HBase variant database through a nice REST API and web app for interacting with this highly scalable variant storage and analysis system. The SeqWare team is based at OICR and includes developers at UNC and other locations. Links: 
- An online bioinformatics database of the biology and genome of the model organism Caenorhabditis elegans and related nematodes. It is used by the C. elegans research community both as an information resource and as a mode to publish and distribute their results. The database is constantly updated and new versions are released on a monthly basis. WormBase is a collaboration among the Wellcome Trust Sanger Institute, Ontario Institute for Cancer Research, Washington University in St. Louis, and the California Institute of Technology. Links: Website.
- Email: robin.haw[AT]oicr.on.ca - contact me to find out more about a project or your potential mentor(s).
- Discussion mailing lists: Genome Informatics Google Groups - ask about our projects; join the community!
- IRC channel: #genomeinformatics on Freenode.
How to apply
We would like to know who you are and how you think. Incorporate the following into your application:
- Your information
- Name, email, and website (optional)
- Brief background: education and relevant work experience
- Your programming interests and strengths
- What are your languages of choice?
- Any prior experience with open source development?
- Your interest and background in biology or bioinformatics
- Any prior exposure to biology or bioinformatics?
- Your ideas for a project (an original idea or one expanded from our Ideas Page)
- Provide as much detail as possible
- Strong applicants include an implementation plan and timeline (hint!)
- Refer to and link to other projects or products that illustrate your ideas
- Identify possible hurdles and questions that will require more research/planning
- What can you bring to the team?
These projects include a broad set of skills, technologies and domains, such as GUIs, database integration and algorithms. You are also encouraged to propose your own ideas related to our projects. If you have strong computer skills and have an interest in biology or bioinformatics, then you should definitely apply!
Reactome Smartphone Application
Reactome has a new RESTful interface, which has the ability to expose pathway data in Reactome as XML and JSON. We would like to develop a smartphone application for Reactome so that it runs on a variety of platforms (iOS and Android in the first instance). The application will consume the data available via the RESTful interface to render its views and perform its functions.
- Idea by: Guanming Wu
- Potential Mentors: Guanming Wu
Reactome Big Picture Visualization
In this project, the successful applicant will apply modern technologies for visualizing large data sets to Reactome's collection of pathways. Good visualizations already exist for single pathways and are being deployed on the Reactome website, but we lack a view that will succinctly summarize the entirety of our pathways in an informative and intuitive way. Two new visualization technologies will be explored as part of this project: a word cloud and a Voroni map. These will be embedded into Reactome's existing web infrastructure, which is based on the Google Web Toolkit.
- Language and Skills: Java/GWT/CSS
- Idea by: Lincoln Stein, Henning Hermjakob
- Potential Mentors: David Croft
The current Reactome website provides a search facility, but this is based on Perl CGI and is not easily extensible to new requirements. We are seeking a student to implement a new search facility in Java, using a Lucene-based engine. The results of the search should be meaningfully ranked, which means that domain information would need to be incorporated into intelligent ranking algorithms. Optionally, the candidate may also wish to implement a web client for displaying the output of the search process.
- Language and Skills: Java/Lucene
- Idea by: Robin Haw
- Potential Mentors: David Croft
A couple of rough ideas:
- Work on fully integrating HTCondor → CloudMan → Galaxy and demonstrating how to run HTCondor jobs from Galaxy across multiple CloudMan clusters?
- Implement DRMAA interface on top of CloudMan so it can provision clusters/nodes that act as isolated job runners (much less defined problem). This is all in support of highly flexible and federated job execution.
Other ideas, with some member of the Galaxy Team as mentor:
- Interactive visualizations for metagenomics (could build on the work done for GSoC last year)
- iRODS integration with Galaxy's ObjectStore abstract storage interface.
- Annotation pipelines of any sort
- an integrated genome browser using Circster (the circular visualization platform embedded in Galaxy) and 1 or more Trackster (the track browser in Galaxy) views simultaneously;
- fusion gene/chromosomal rearrangement visualization using both Trackster and Circster;
- eQTL pipeline + visualization.
- Directory showing which tools are available on which Galaxy Public Servers. Make it easy to search and discover this information. See the feature request.
GMOD wiki improvements
- create an extension to allow website visitors to leave feedback (through a star rating system and comments) on tutorials and documentation
- integrate content from OpenBadges
- extensions to integrate content from iAnn, Nabble, Storify
- create a better way to display standardized GMOD component data than the existing pages (see GBrowse or Galaxy for demonstrations)
- write a new wiki skin that integrates the feedback extension (above). For ideas of what you can do with MediaWiki skinning, see some of the following sites: JQuery Docs website; Wiki Mini; ltrMenuPlus; StrategyWiki; Blender Wiki; Säsongsmat.
- Language and skills: HTML, CSS, JS, PHP; graphic design; appreciation for vertical rhythm. Familiarity with MediaWiki programming would be a bonus.
- idea by: Amelia Ireland
- Potential mentor: Amelia Ireland
WormBase iOS App/Mobile web site
The new version of WormBase has a RESTful API. Our current site is built on this API (html for each widget is fetched via AJAX request). We'd like to develop either a mobile site or a native iOS app on top of this API.
- Language and Skills: familiarity with AJAX/JSON, and either: HTML/CSS/JS (mobile site) or iOS development (iOS app)
- Idea by: Abigail Cabunoc
- Potential Mentors: Abigail Cabunoc, Todd Harris
There are quite a few projects that I would like to see happen for SeqWare and it would be great to get a student to help on these:
- finish our Oozie workflow engine that allows jobs to be scheduled on a M/R cluster
- look at leveraging StarCluster/Cloudman/other tech to build SeqWare-capable clusters on the cloud (right now we just have single-node cluster launching which is only really helpful for human exomes)
- work with the Galaxy tool and finish the compatibility layer that allows SeqWare workflows to run/interact with Galaxy
- write a RESTful web API on our HBase variant database, write a proof of concept variant exploration and sharing web app using the REST API
(your idea here)
Please feel very free to propose your own idea. As long as it is relevant to one of our projects, we will give it serious consideration. Creativity and self-motivation are great traits for open source programmers. Do not hesitate to propose your own project idea: some of the best applications we see are by students that go this route.