Literature DB >> 16500937

The UCSC Known Genes.

Fan Hsu1, W James Kent, Hiram Clawson, Robert M Kuhn, Mark Diekhans, David Haussler.   

Abstract

The University of California Santa Cruz (UCSC) Known Genes dataset is constructed by a fully automated process, based on protein data from Swiss-Prot/TrEMBL (UniProt) and the associated mRNA data from Genbank. The detailed steps of this process are described. Extensive cross-references from this dataset to other genomic and proteomic data were constructed. For each known gene, a details page is provided containing rich information about the gene, together with extensive links to other relevant genomic, proteomic and pathway data. As of July 2005, the UCSC Known Genes are available for human, mouse and rat genomes. The Known Genes serves as a foundation to support several key programs: the Genome Browser, Proteome Browser, Gene Sorter and Table Browser offered at the UCSC website. All the associated data files and program source code are also available. They can be accessed at http://genome.ucsc.edu. The genomic coverage of UCSC Known Genes, RefSeq, Ensembl Genes, H-Invitational and CCDS is analyzed. Although UCSC Known Genes offers the highest genomic and CDS coverage among major human and mouse gene sets, more detailed analysis suggests all of them could be further improved.

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Year:  2006        PMID: 16500937     DOI: 10.1093/bioinformatics/btl048

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  318 in total

1.  A multiplex RNA-seq strategy to profile poly(A+) RNA: application to analysis of transcription response and 3' end formation.

Authors:  Kristi Fox-Walsh; Jeremy Davis-Turak; Yu Zhou; Hairi Li; Xiang-Dong Fu
Journal:  Genomics       Date:  2011-04-15       Impact factor: 5.736

2.  Fitness conferred by replaced amino acids declines with time.

Authors:  Sergey A Naumenko; Alexey S Kondrashov; Georgii A Bazykin
Journal:  Biol Lett       Date:  2012-05-23       Impact factor: 3.703

3.  Base-resolution analysis of 5-hydroxymethylcytosine in the mammalian genome.

Authors:  Miao Yu; Gary C Hon; Keith E Szulwach; Chun-Xiao Song; Liang Zhang; Audrey Kim; Xuekun Li; Qing Dai; Yin Shen; Beomseok Park; Jung-Hyun Min; Peng Jin; Bing Ren; Chuan He
Journal:  Cell       Date:  2012-05-17       Impact factor: 41.582

4.  Genomic profiling of HMGN1 reveals an association with chromatin at regulatory regions.

Authors:  Suresh Cuddapah; Dustin E Schones; Kairong Cui; Tae-Young Roh; Artem Barski; Gang Wei; Mark Rochman; Michael Bustin; Keji Zhao
Journal:  Mol Cell Biol       Date:  2010-12-20       Impact factor: 4.272

5.  De novo assembly and analysis of RNA-seq data.

Authors:  Gordon Robertson; Jacqueline Schein; Readman Chiu; Richard Corbett; Matthew Field; Shaun D Jackman; Karen Mungall; Sam Lee; Hisanaga Mark Okada; Jenny Q Qian; Malachi Griffith; Anthony Raymond; Nina Thiessen; Timothee Cezard; Yaron S Butterfield; Richard Newsome; Simon K Chan; Rong She; Richard Varhol; Baljit Kamoh; Anna-Liisa Prabhu; Angela Tam; YongJun Zhao; Richard A Moore; Martin Hirst; Marco A Marra; Steven J M Jones; Pamela A Hoodless; Inanc Birol
Journal:  Nat Methods       Date:  2010-10-10       Impact factor: 28.547

6.  Genomic variant annotation and prioritization with ANNOVAR and wANNOVAR.

Authors:  Hui Yang; Kai Wang
Journal:  Nat Protoc       Date:  2015-09-17       Impact factor: 13.491

7.  Deep transcriptome profiling of mammalian stem cells supports a regulatory role for retrotransposons in pluripotency maintenance.

Authors:  Alexandre Fort; Kosuke Hashimoto; Daisuke Yamada; Md Salimullah; Chaman A Keya; Alka Saxena; Alessandro Bonetti; Irina Voineagu; Nicolas Bertin; Anton Kratz; Yukihiko Noro; Chee-Hong Wong; Michiel de Hoon; Robin Andersson; Albin Sandelin; Harukazu Suzuki; Chia-Lin Wei; Haruhiko Koseki; Yuki Hasegawa; Alistair R R Forrest; Piero Carninci
Journal:  Nat Genet       Date:  2014-04-28       Impact factor: 38.330

8.  The transcription factors Ets1 and Sox10 interact during murine melanocyte development.

Authors:  Amy Saldana-Caboverde; Erasmo M Perera; Dawn E Watkins-Chow; Nancy F Hansen; Meghana Vemulapalli; James C Mullikin; William J Pavan; Lidia Kos
Journal:  Dev Biol       Date:  2015-04-23       Impact factor: 3.582

9.  Significant gene content variation characterizes the genomes of inbred mouse strains.

Authors:  Gene Cutler; Lisa A Marshall; Ni Chin; Helene Baribault; Paul D Kassner
Journal:  Genome Res       Date:  2007-11-07       Impact factor: 9.043

10.  GFAP Mutations in Astrocytes Impair Oligodendrocyte Progenitor Proliferation and Myelination in an hiPSC Model of Alexander Disease.

Authors:  Li Li; E Tian; Xianwei Chen; Jianfei Chao; Jeremy Klein; Qiuhao Qu; Guihua Sun; Guoqiang Sun; Yanzhou Huang; Charles D Warden; Peng Ye; Lizhao Feng; Xinqiang Li; Qi Cui; Abdullah Sultan; Panagiotis Douvaras; Valentina Fossati; Neville E Sanjana; Arthur D Riggs; Yanhong Shi
Journal:  Cell Stem Cell       Date:  2018-08-02       Impact factor: 24.633

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