[SocBiN] ECCB 2016 workshop – Network Inference: New Methods and New Data

[JOSHI Anagha]

ECCB 2016 workshop – Network Inference: New Methods and New Data

Submit an abstract for ECCB 2016 workshop - extended deadline 18th May

http://www.eccb2016.org/programme/workshops/w2/

W2 – Network Inference: New Methods and New Data

Workshop details

Date: Saturday September 3, 2016
Time: 9:00 – 17:00
Venue: World Forum, room: t.b.c.

Organisers
•Dr. Anagha Joshi, Roslin Institute, University of Edinburgh, UK •Dr. Tom Michoel, Roslin Institute, University of Edinburgh, UK •Dr. Eric Bonnet, Centre National de Génotypage, CEA, Paris, France

Summary

Background
 Mammalian systems constitute over 200 cell types, each specialized to perform a distinct function, and yet all cell types share the same genome. This cell type specificity is achieved by a context-specific interpretation of the DNA sequence to produce a cell type specific transcription signature. Advances in sequencing techniques have accelerated the characterization of transcription landscapes across many normal and malignant cell types. The challenge now is to integrate these data to understand transcriptional control at a systems level. Over the years, powerful machine learning algorithms have been developed for inferring transcriptional networks from expression data, thereby revealing new aspects of complex biological systems.

Aims and scope
 This one day SIG session will bring together experts from computational biology and machine learning to present recent advances in the development and application of gene regulatory network inference methods, as well as novel emerging single-cell and epigenomics data types suitable for network inference. The SIG will be split into two half day sessions. The first half will focus entirely on novel network inference methods, while the second half will focus on opportunities and challenges arising from new data types. Each session will feature an invited speaker and three short talks.

Keynote speakers

Prof. Sushmita Roy, University of Wisconsin-Madison. Website  Prof. Klaas Vandepoele, Ghent University. Website

Target audience

The target audience is researchers working in the field of network inference or anyone who is working with large scale genome wide data. We expect typically 20 participants.

Submissions

Six talks will be selected by the organisers from submitted abstracts (max. 250 words). There will also be a ‘hands-on’ session with short pitches of new network inference tools or databases. Abstracts for both kinds of talks should be submitted online via the Easychair submission system. The deadline for submission is 1 May 2016.

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