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Michael A. Singer

Researcher at Hoffmann-La Roche

Publications -  11
Citations -  10733

Michael A. Singer is an academic researcher from Hoffmann-La Roche. The author has contributed to research in topics: Gene & Human genome. The author has an hindex of 10, co-authored 11 publications receiving 10217 citations.

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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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The ENCODE (ENCyclopedia of DNA elements) Project

Elise A. Feingold, +196 more
- 22 Oct 2004 - 
TL;DR: The ENCyclopedia Of DNA Elements (ENCODE) Project is organized as an international consortium of computational and laboratory-based scientists working to develop and apply high-throughput approaches for detecting all sequence elements that confer biological function.
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Induced Pluripotent Stem Cells and Embryonic Stem Cells Are Distinguished by Gene Expression Signatures

TL;DR: Genome-wide data and high-resolution array profiling demonstrated that there is no common specific subkaryotypic alteration that is required for reprograming and that reprogramming does not lead to genomic instability, and suggest that iPSCs should be considered a unique subtype of pluripotent cell.
Journal ArticleDOI

A high-resolution map of active promoters in the human genome

TL;DR: A genome-wide map of active promoters in human fibroblast cells, determined by experimentally locating the sites of PIC binding throughout the human genome is described, providing a global view of the functional relationships among transcriptional machinery, chromatin structure and gene expression in human cells.
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Genome-scale mapping of DNase I sensitivity in vivo using tiling DNA microarrays

TL;DR: This work described a high-resolution, genome-scale approach for quantifying chromatin accessibility by measuring DNase I sensitivity as a continuous function of genome position using tiling DNA microarrays (DNase-array), and developed a computational approach for visualizing higher-order features of chromatin structure.