BigLS - Big Data in Life Sciences

The First International Workshop on Big Data in Life Sciences
Crowne Plaza, New Orleans Airport, LA
Thursday, June 13, 2013

In conjunction with ICCABS 2013
3rd IEEE International Conference on Computational Advances in Bio and Medical Sciences

Workshop Co-chairs:

   Ananth Kalyanaraman, Washington State University
   Jaroslaw Zola, Rutgers University

Download call for participation

The ever-growing volume and diversity of biological and biomedical data collections continues to pose new challenges and increasing demands on computing and data management. The inherent complexity of this big data forces us to rethink how we collect, store, combine and analyze it. BigLS, pronounced "Beagles", is a workshop dedicated to the broad theme of big data in life sciences. The goal of the workshop is to bring together leading researchers and practitioners working on a diverse range of big data problems relating to biology and medicine, and engage them in a discussion about current big data problems, the state of computational tools and analytics, the challenges and the future trends within life sciences.

Specific topics covered in this inaugural edition of the workshop include, but are not limited to:

The workshop will be held on Thursday, June 13, 2013, and will consist of a set of invited presentations, followed by a joint panel discussion. The workshop is open to all ICCABS attendees, and to those who register separately for the workshop.

Workshop registration fees (to register please follow ICCABS guidelines):

Advance Program:

Time Title Authors
8:30 - 9:00 Parallel analysis of large graph-structured data in genomics and proteomics Kamesh Madduri
9:00 - 9:30 Practical software for big genomics data Benjamin Langmead
9:30 - 10:00 Identifying significant mutations in large cohorts of cancer genomes Fabio Vandin, Eli Upfal, Ben Raphael
10:00 - 10:30 Coffee break
10:30 - 11:15 Recent advances in stochastic flow clustering Srini Parthasarathy
11:15 - 12:00 Large-scale metagenomic clustering via quasi-clique enumeration and read assignment ambiguity resolution Srinivas Aluru
12:00 - 1:30 Lunch
1:30 - 2:00 Surviving the NGS data deluge - A scalable architecture for next generation metagenomics Folker Meyer, Narayan Desai, Jared Wilkening, Andreas Wilke, Wei Tang
2:00 - 2:30 Big data from plant genomics: elucidating regulatory networks in poplar trees Vladimir Filkov
2:30 - 3:00 Workflow-driven programming paradigms for distributed analysis of biological big data Ilkay Altintas
3:00 - 3:30 Coffee break
3:30 - 5:00 BigLS Panel: Big Data in Life Sciences - fad, fiction or fact? Moderators: A. Kalyanaraman, J. Zola