Citation metrics
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|style="width:65%"|[http://papers.gersteinlab.org/papers/rigidfinder/index.html '''RigidFinder: a fast and sensitive method to detect rigid blocks in large macromolecular complexes''']||style="width:15%; text-align:center;"|2010||style="text-align:center;"|1 | |style="width:65%"|[http://papers.gersteinlab.org/papers/rigidfinder/index.html '''RigidFinder: a fast and sensitive method to detect rigid blocks in large macromolecular complexes''']||style="width:15%; text-align:center;"|2010||style="text-align:center;"|1 | ||
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|style="width:65%"|[http://archive.gersteinlab.org/proj/rnaseq/IQSeq/ '''IQseq''']||style="text-align:center;"|2010||A tool for isoform quantification with RNA-seq data. Given isoform annotation and alignment of RNA-seq reads, it will use an EM algorithm to infer the most probable expression level for each isoform of a gene. | |style="width:65%"|[http://archive.gersteinlab.org/proj/rnaseq/IQSeq/ '''IQseq''']||style="text-align:center;"|2010||A tool for isoform quantification with RNA-seq data. Given isoform annotation and alignment of RNA-seq reads, it will use an EM algorithm to infer the most probable expression level for each isoform of a gene. |
Revision as of 09:17, 3 October 2011
Citation Data
This page provides data on how frequently MolMovDB-related work by the Gerstein lab has been cited in the literature. Note that it was last updated in June 2011.
Paper Title & Link Year Published No. Times Cited (as of 6/2011) 3V: cavity, channel and cleft volume calculator and extractor 2010 2 RigidFinder: a fast and sensitive method to detect rigid blocks in large macromolecular complexes 2010 1 IQseq 2010 A tool for isoform quantification with RNA-seq data. Given isoform annotation and alignment of RNA-seq reads, it will use an EM algorithm to infer the most probable expression level for each isoform of a gene. RSEQtools 2010 A suite of tools that use Mapped Read Format (MRF) for the analysis of RNA-Seq experiments. MRF was developed to address privacy concerns associated with the potential for mRNA sequence reads to identify and genetically characterise specific individuals; it is a compact data summary format that enables anonymization of confidential sequence information, while maintaining the ability to conduct subsequent functional genomics studies. RSEQtools provides a suite of modules that convert to/from MRF data and perform common tasks such as calculating gene expression values, generating signal tracks of mapped reads, and segmenting that signal into actively transcribed regions.