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Christian Schönbach

Researcher at Nazarbayev University

Publications -  87
Citations -  8234

Christian Schönbach is an academic researcher from Nazarbayev University. The author has contributed to research in topics: Gene & Peptide binding. The author has an hindex of 27, co-authored 86 publications receiving 7840 citations. Previous affiliations of Christian Schönbach include University of Basel & University of Miami.

Papers
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Journal ArticleDOI

The Transcriptional Landscape of the Mammalian Genome

Piero Carninci, +197 more
- 02 Sep 2005 - 
TL;DR: Detailed polling of transcription start and termination sites and analysis of previously unidentified full-length complementary DNAs derived from the mouse genome provide a comprehensive platform for the comparative analysis of mammalian transcriptional regulation in differentiation and development.
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Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs

Yasushi Okazaki, +138 more
- 05 Dec 2002 - 
TL;DR: The present work, completely supported by physical clones, provides the most comprehensive survey of a mammalian transcriptome so far, and is a valuable resource for functional genomics.
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Functional annotation of a full-length mouse cDNA collection

Jun Kawai, +96 more
- 08 Feb 2001 - 
TL;DR: The first RIKEN clone collection is described, which is one of the largest described for any organism and analysis of these cDNAs extends known gene families and identifies new ones.
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The transcriptional network that controls growth arrest and differentiation in a human myeloid leukemia cell line

Harukazu Suzuki, +162 more
- 01 May 2009 - 
TL;DR: The results indicate that cellular states are constrained by complex networks involving both positive and negative regulatory interactions among substantial numbers of transcription factors and that no single transcription factor is both necessary and sufficient to drive the differentiation process.
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Impact of alternative initiation, splicing, and termination on the diversity of the mRNA transcripts encoded by the mouse transcriptome

TL;DR: A new computational procedure was developed to identify and classify the forms of splice variation evident in this data set and the results were organized into a publicly accessible database that can be used for future expression array construction, structural genomics, and analyses of the mechanism and regulation of alternative splicing.