Notes: Bioinformatics Open Source Conference 2015 day 2 afternoon: Translational, Visualization and Lightning Talks

I’m at the 2015 Bioinformatics Open Source Conference (BOSC) in Dublin, Ireland. BOSC is a two day community conference devoted to open source and open science. These are notes about translational biology, visualization and last minute lightning talks.

My other notes from the conference:

Translational Bioinformatics

CIViC: Crowdsourcing the Clinical Interpretation of Variants in Cancer

Malachi Griffith

Large scale cancer genome sequencing is becoming routine. We can get lots of mutations but bottleneck is in visualization and interpretation of events. Shows example sample interpretations from Foundation Medicine done by paid curators. We should be doing this in public, and need resources to support this. Resources at WashU: DoCM and CIViC. Issue is that there are many hospitals and researchers building up lists of variants we should care about in cancer – this needs to be done together. Existing resources aren’t meant to be programmable and have non open licenses so hard to use. Principles of CIViC: interpretations should be freely available and debated openly. Content needs to be transparent and kept up to date. Need interface for both API and web interface. Access should remain free. Hope is that CIViC will end up in a precision medicine treatment cycle: capture information from trying to help late stage cancer patients who are fine with experimental treatments. CIViC is trying to capture known clinically actionable genes, so very specific goals to avoid going in two many directions. Currently has 500 evidence statements from 230 published sources.

From Fastq To Drug Recommendation – Automated Cancer Report Generation using OncoRep & Omics Pipe

Tobias Meissner

Tobias talks about work on defining actionable targets that can get prescribed to the patient. Aim for 2 week turnaround for sequencing and analysis. Most time spent in analysis so benefits from automation and reproducibility improvements. Omics Pipe does the process work and OncoRep prepares the clinical report. Introduces example of real patient that has been through multiple rounds of drug treatments. Omics Pipe implements best practice pipelines that run out of the box. OncoRep prepares a HTML patient report based on calls generated using knitr. Links back to evidence. Provides a PDF patient report, generated with sweave.

Cancer Informatics Collaboration and Computation: Two Initiatives of the U.S. National Cancer Institute

Ishwar Chandramouliswaran

Ishwar from the National Cancer Institute (NCI) presenting the collaborative NCIP Hub intitiatve. Idea is to make tools available for biologists. The idea is to fit these in with MOOCs for learning and training. NCIP Hub provides a home for content and keep transparent metrics about usage. The second initiative is the Cancer Cloud Initiative with three implementations: Seven Bridges, Broad and Institute for Systems Biology. Please partitipate in the evaluation with $2 million in cloud credits.

Bioinformatics Open Source Project Updates

Biopython Project Update 2015

João Rodrigues

João talking about Biopython project. Mentions all of the diverse conitributions to the source code. Also talks about the benefit of Google Summer of Code (GSoC) for recruiting and retaining contributors. Eric Talevich was a student, then mentor, then administrator for GSoC – open source career prorgression. João talks about improvements in Biopython the last year, demos some cool functionality from KEGG. Beyond the code: Docker containers with Biopython + dependencies that supports IPython notebooks. Tiago wrote a book: Bioinformatics with Python Cookbook.

The biogems community: Challenges in distributed software development in bioinformatics

George Githinji and Pjotr Prins

BioRuby migrated into BioGems. The idea is to decentralize the contribution process so there is no longer a central idea, and instead promote and rank the new packages. Show a lot of metrics of downloads, GitHub issues, mailing list activity: good question about how to measure success. Published paper on sambamba, saw a big uptick in downloads and GitHub issues: both bug reports and feature requests.

Apache Taverna: Sustaining research software at the Apache Software Foundation

Stian Soiland-Reyes

Apache Taverna is a workflow system that has been in development since 2001. Since 2006, productionized Taverna to make it easier to install and run. Since 2014 moved to Apache incubating project. Stian describes the typical evolution of research software: incidentally open source and then developed ad-hoc over time in different directions than initially expected. There is a strong need for open development so original starters aren’t leaders of the project. Move the focus towards the people that are doing things; move towards a do-ocracy. Looked at ways to change the legal ownwership of Taverna. Decided to move towards Apache – they favor community over code and move towards longer term sustainability.

Visualization

Simple, Shareable, Online RNA Secondary Structure Diagrams

Peter Kerpedjiev

Peter is talking about making it easy to show RNA secondary structure: tool called forna with d3 goodness. Goal of making these is to show things that are hard to visualize. Simplify 3d structures back to 2d to make them easier to see. Convert 1d to 2d to make them obvious. Nice examples. Another tool that does this is RNA-PDB. Can make more complex applications with d3 and rnaPlot layout. Container component is fornac.

BioJS 2.0: an open source standard for biological visualization

Guy Yachdav

BioJS is a set of reusable blocks for representing biological data on the web. Have an online registry to make it easy to discover new packages. Uses npm for installation. Looking for new components and contributors.

Visualising Open PHACTS linked data with widgets

Ian Dunlop

OpenPHACTS brings together a large number of pharmaceutical resources into an integrated infrastructure. Uses RDF under the covers but has an API to query. Lots of nice visualization widgets and compound displays included with BioJS.

Late-Breaking Lightning Talks

Biospectra-by-sequencing genetic analysis platform

Aurelie Laugraud

Originally called Genotyping by Sequencing (GBS) – cheap and easy way to sequence only part of a genome. Used first on maize because they have lots of population data and a massive genome. Analysis pipeline called TASSEL with both reference and non-reference pipelines. BioSpectra-by-Sequencing (BSS). Brings together a community to make tools available for existing data.

hyloToAST: Bioinformatics tools for species-level analysis and visualization of complex microbial communities

Shareef Dabdoub

Shareef highlight issues found with QIMME that led them to develope PhyloToAST which modifies and extends the main pipeline. Includes new plots through matplotlib – nice 2d + 3d on same data to readily distinguish. Also added automatic export of data into the the interactive tree of life (iTOL).

Otter/ZMap/SeqTools: A productive alternative to web browser genome visualisation

Gemma Guest

Gemma talks about visualization and annotation tools from the Sanger. Otter does interactive graphical annotation. ZMap is a high performace genome browser. SeqTools and Blixem provides a tool for visualizing sequence alignments at a higher level of detail compared to ZMap. Dotter provides detailed comparisons of two sequences.

bioaRchive: enabling reproducibility of Bioconductor package versions

Nitesh Turaga

Nitesh is part of the Galaxy team at Johns Hopkins. Issue with Bioconductor is that it’s quite difficult to get an older version of tools – you can only really get the latest. bioarchive provides a nice browsable website and packages of old version of tools. Can use standard install.packages and point to bioarchive. For Galaxy, this now makes all versions available for full reproducibility. Future goals are to get bioconductor involved in the process and integrate with biocLite.

Developing an Arvados BWA-GATK pipeline

Pjotr Prins

Pjotr working at a HiSeq X-10 facility. 18k genomes per year and 50 genomes per day. Existing pipeline takes 3 days on the cluster. Bottleneck is the shared filesystem. Decided to try using Arvados based on conversations at BOSC last year. Took a week to port Perl script over to Arvados. Runs in 2 days with 1 run and flat performance with 8 samples on AWS. Nice ability to share pipelines in Arvados.

Out of the box cloud solution for Next-Generation Sequencing analysis

Freerk van Dijk

Put together a VM for NGS analysis using Molgenis. Can download image, upload data to the VM and then run. Used OpenStack framework for running. Used easyBuild to install the software. Define the inputs with a CSV file. Generates jobs through Molgenis. Nice setup, creates a Reproducible, Scalble and Portable system.

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One thought on “Notes: Bioinformatics Open Source Conference 2015 day 2 afternoon: Translational, Visualization and Lightning Talks

  1. Pingback: Thoughts on BOSC 2015 | Thoughts

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