Big Data in Biology
I attended the Keystone Symposia Conference: Big Data in Biology as the Conference Assistant last week. I set up an Etherpad during the meeting to take live notes during the sessions. I’ve compiled all the abstracts, notes and slides (where available) here. Shout-out to David Kuo for helping edit the notes.
Warning: These notes are somewhat incomplete and mostly written in broken english
Complete schedule of talks #
Large-scale Cancer Genomics #
Lincoln Stein, Ontario Institute for Cancer Research, Canada
Opening Remarks
David Haussler, University of California, Santa Cruz, USA
Keynote - Large-scale Cancer Genomics -
[Abstract]
[Q&A]
Databases and Clouds #
Laura Clarke, European Bioinformatics Institute, UK
The 1000 Genomes Project, Community Access and Management for Large Scale Public Data -
[Abstract]
[Q&A]
Dan Stanzione, University of Texas at Austin, USA
The iPlant Collaborative: Cyberinfrastructure for 21st Century Biology -
[Abstract]
[Q&A]
Jill P. Mesirov, Broad Institute, USA
GenomeSpace: A Community Web Environment for Genomic Analysis Across Diverse Bioinformatic Tools -
[Abstract]
[Q&A]
Ronald C. Taylor, Pacific Northwest National Laboratory, USA (replaced by Francis Ouellette)
FGED: The Functional Genomics Data Society -
[Abstract]
[Q&A]
Andrew Carroll, DNAnexus, USA
Insights from the Genomic Analysis of 10,940 Exomes and 3,751 Whole Genomes Demystifying Running at Scale and the Scientific -
[Abstract]
[Q&A]
Michael Schatz, Cold Spring Harbor Laboratory, USA
The Next 10 Years of Quantitative Biology -
[Q&A]
[Slides]
Panel: Big Data Challenges and Solutions: Control Access to Individual Genomes #
Doreen Ware (moderator), David Haussler, Laura Clarke, Jill P. Mesirov, Andrew Carroll, Lincoln D. Stein, Mark Gerstein
Personal Genomes #
Lincoln D. Stein, Ontario Institute for Cancer Research, Canada
The International Cancer Genome Consortium Database -
[Abstract]
[Q&A]
Ajay Royyuru, IBM T.J. Watson Research Center, USA
Genome Analytics with IBM Watson -
[Q&A]
Mark Gerstein, Yale University, USA
Human Genome Analysis -
[Abstract]
[Q&A]
[Slides]
Stuart Young, Annai Systems Inc., USA
The BioCompute Farm: Colocated Compute for Cancer Genomics -
[Abstract]
[Q&A]
Adam Butler, Wellcome Trust Sanger Institute, UK
Short Talk: Pan-Cancer Analysis of Somatic Variation from Whole Genome ICGC / TCGA Datasets -
[Abstract]
[Q&A]
Maya M. Kasowski, Yale University, USA
Short Talk: Extensive Variation in Chromatin States Across Humans -
[Abstract]
[Q&A]
Robert L. Grossman, University of Chicago, USA
Short Talk: An Overview of the Bionimbus Protected Data Cloud -
[Abstract]
[Q&A]
Imaging/Parmacogenomics #
Susan Sunkin, Allen Institute for Brain Science, USA
Allen Brain Atlas: An Integrated Neuroscience Resource -
[Abstract]
[Q&A]
Jason R. Swedlow, University of Dundee, Scotland
The Open Microscopy Environment: Open Source Image Informatics for the Biological Sciences -
[Abstract]
[Q&A]
Douglas P. W. Russell, University of Oxford, UK
Short Talk: Decentralizing Image Informatics -
[Abstract]
[Q&A]
John Overington, European Molecular Biology Laboratory, UK
Spanning Molecular and Genomic Data in Drug Discovery -
[Abstract]
[Q&A]
Closing Session #
Michael Schatz, Cold Spring Harbor Laboratory, USA
The Next 10 Years of Quantitative Biology -
[Q&A]
[Slides]
Other posts in this series: #
- Big Data in Biology: Large-scale Cancer Genomics
- Big Data in Biology: Databases and Clouds
- Big Data in Biology: Big Data Challenges and Solutions: Control Access to Individual Genomes
- Big Data in Biology: Personal Genomes
- Big Data in Biology: Imaging/Parmacogenomics
- Big Data in Biology: The Next 10 Years of Quantitative Biology