BigLS - International Workshop on Big Data in Life 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:

Next-generation sequencing and assembly
Metagenomics and metaproteomics
Systems biology and informatics
Statistical and integrative approaches
to big data biology and informatics
Scientific workflows and platforms
for big data in life sciences

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):

IEEE Members: $300
IEEE Non-members and late registration (after May 20, 2013): $400

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

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