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Ian Bell

Researcher at Affymetrix

Publications -  15
Citations -  18220

Ian Bell is an academic researcher from Affymetrix. The author has contributed to research in topics: Human genome & Gene. The author has an hindex of 14, co-authored 15 publications receiving 17053 citations. Previous affiliations of Ian Bell include Thermo Fisher Scientific.

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Identification and analysis of functional elements in 1% of the human genome by the ENCODE pilot project

Ewan Birney, +320 more
- 14 Jun 2007 - 
TL;DR: Functional data from multiple, diverse experiments performed on a targeted 1% of the human genome as part of the pilot phase of the ENCODE Project are reported, providing convincing evidence that the genome is pervasively transcribed, such that the majority of its bases can be found in primary transcripts.
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Landscape of transcription in human cells

Sarah Djebali, +87 more
- 06 Sep 2012 - 
TL;DR: Evidence that three-quarters of the human genome is capable of being transcribed is reported, as well as observations about the range and levels of expression, localization, processing fates, regulatory regions and modifications of almost all currently annotated and thousands of previously unannotated RNAs that prompt a redefinition of the concept of a gene.

An integrated encyclopedia of DNA elements in the human genome

Ian Dunham, +442 more
TL;DR: The Encyclopedia of DNA Elements project provides new insights into the organization and regulation of the authors' genes and genome, and is an expansive resource of functional annotations for biomedical research.
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RNA Maps Reveal New RNA Classes and a Possible Function for Pervasive Transcription

TL;DR: Three potentially functional classes of RNAs have been identified, two of which are syntenically conserved and correlate with the expression state of protein-coding genes and support a highly interleaved organization of the human transcriptome.
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A User's Guide to the Encyclopedia of DNA Elements (ENCODE)

Richard M. Myers, +328 more
- 01 Apr 2011 - 
TL;DR: An overview of the project and the resources it is generating and the application of ENCODE data to interpret the human genome are provided.