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Mark Gerstein

Showing results (61-70 of 449) with videos related to

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Genome Research|October 9, 2002
Identification and analysis of over 2000 ribosomal protein pseudogenes in the human genomeZhaolei Zhang, Paul Harrison, Mark Gerstein
BMC Bioinformatics|February 4, 2010
Genome-wide sequence-based prediction of peripheral proteins using a novel semi-supervised learning techniqueNitin Bhardwaj, Mark Gerstein, Hui Lu
Genome Biology|November 18, 2006
ProCAT: a data analysis approach for protein microarraysXiaowei Zhu, Mark Gerstein, Michael Snyder
BMC Genomics|September 16, 2009
The relationship between the evolution of microRNA targets and the length of their UTRsChao Cheng, Nitin Bhardwaj, Mark Gerstein
Bioinformatics (Oxford, England)|November 1, 2011
TIP: a probabilistic method for identifying transcription factor target genes from ChIP-seq binding profilesChao Cheng, Renqiang Min, Mark Gerstein
Proceedings of the National Academy of Sciences of the United States of America|December 14, 2011
Systematic control of protein interactions for systems biologyNitin Bhardwaj, Declan Clarke, Mark Gerstein
Trends in Genetics : TIG|January 30, 2004
Comparative analysis of processed pseudogenes in the mouse and human genomesZhaolei Zhang, Nick Carriero, Mark Gerstein
Plos One|July 17, 2008
Transmembrane protein oxygen content and compartmentalization of cellsRajkumar Sasidharan, Andrew Smith, Mark Gerstein
Cell|July 11, 2008
Seeking a new biology through text miningAndrey Rzhetsky, Michael Seringhaus, Mark Gerstein
Genome Biology|October 9, 2014
MUSIC: identification of enriched regions in ChIP-Seq experiments using a mappability-corrected multiscale signal processing frameworkArif Harmanci, Joel Rozowsky, Mark Gerstein
Pageof 45

Showing results (61-70 of 449) with videos related to

Sort By:
Pageof 45
Genome Research|October 9, 2002
Identification and analysis of over 2000 ribosomal protein pseudogenes in the human genomeZhaolei Zhang, Paul Harrison, Mark Gerstein
BMC Bioinformatics|February 4, 2010
Genome-wide sequence-based prediction of peripheral proteins using a novel semi-supervised learning techniqueNitin Bhardwaj, Mark Gerstein, Hui Lu
Genome Biology|November 18, 2006
ProCAT: a data analysis approach for protein microarraysXiaowei Zhu, Mark Gerstein, Michael Snyder
BMC Genomics|September 16, 2009
The relationship between the evolution of microRNA targets and the length of their UTRsChao Cheng, Nitin Bhardwaj, Mark Gerstein
Bioinformatics (Oxford, England)|November 1, 2011
TIP: a probabilistic method for identifying transcription factor target genes from ChIP-seq binding profilesChao Cheng, Renqiang Min, Mark Gerstein
Proceedings of the National Academy of Sciences of the United States of America|December 14, 2011
Systematic control of protein interactions for systems biologyNitin Bhardwaj, Declan Clarke, Mark Gerstein
Trends in Genetics : TIG|January 30, 2004
Comparative analysis of processed pseudogenes in the mouse and human genomesZhaolei Zhang, Nick Carriero, Mark Gerstein
Plos One|July 17, 2008
Transmembrane protein oxygen content and compartmentalization of cellsRajkumar Sasidharan, Andrew Smith, Mark Gerstein
Cell|July 11, 2008
Seeking a new biology through text miningAndrey Rzhetsky, Michael Seringhaus, Mark Gerstein
Genome Biology|October 9, 2014
MUSIC: identification of enriched regions in ChIP-Seq experiments using a mappability-corrected multiscale signal processing frameworkArif Harmanci, Joel Rozowsky, Mark Gerstein
Pageof 45