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modENCODE Participants and Projects

modENCODE Participants and Projects

modENCODE Production Effort

Research Group Institution Organism Research Goals
Susan Celniker Lawrence Berkeley National Laboratory D. melanogaster Identify and map protein coding and non-protein coding transcribed sequences using microarrays, high-throughput sequencing and computational predictions.
Steven Henikoff Fred Hutchinson Cancer Research Center C. elegans / D. melanogaster Identify sites of active chromatin by mapping core histone variants using a biotin-tagging system.
Gary Karpen Lawrence Berkeley National Laboratory D. melanogaster Map and analyze chromosomal proteins and histone modifications using ChIP-chip.
Eric Lai Memorial Sloan-Kettering Cancer Center D. melanogaster Characterize small RNAs using high-throughput sequencing.
Jason Lieb University of North Carolina at Chapel Hill C. elegans Map and analyze chromosomal protein targets by ChIP-chip.
David MacAlpine Duke University D. melanogaster Map origins of replication; determine replication timing; identify sites of pre-replicative complex formation using microarrays.
Brian Oliver National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health D. melanogaster Annotate transcript models using RNA-seq data.
Fabio Piano New York University C. elegans Identify microRNA binding elements in 3'UTRs using microarrays and high-throughput sequencing.
Michael Snyder Yale University C. elegans Pilot effort to demonstrate feasibility of using a tagging strategy to map transcription factor binding sites by ChIP-chip
Robert Waterston University of Washington C. elegans Identify and functionally classify protein coding and non-protein coding transcribed sequencing, primarily using computational methods.
Kevin White University of Chicago D. melanogaster Map transcription factor binding sites using ChIP-chip.


modENCODE Data Coordination Center

Research Group Institution Research Goals
Lincoln Stein Ontario Institute for Cancer Research

Collect, organize, store, manage, and provide access to data from modENCODE and related projects.

modENCODE Data Analysis Center

Research Group Institution Research Goals
Manolis Kellis Massachusetts Institute of Technology

Create a Data Analysis Center to support high-resolution annotation of functional elements.

Last updated: March 07, 2012