MPromDb update 2010: an integrated resource for annotation and visualization of mammalian gene promoters and ChIP-seq experimental data.
MPromDb update 2010: an integrated resource for annotation and visualization of mammalian gene promoters and ChIP-seq experimental data.
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DOI:
10.1093/nar/gkq1171
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发表时间:
2011-01
影响因子:
14.9
通讯作者:
Davuluri RV
中科院分区:
文献类型:
--
作者:
Gupta R;Bhattacharyya A;Agosto-Perez FJ;Wickramasinghe P;Davuluri RV
MPromDb (Mammalian Promoter Database) is a curated database that strives to annotate gene promoters identified from ChIP-seq results with the goal of providing an integrated resource for mammalian transcriptional regulation and epigenetics. We analyzed 507 million uniquely aligned RNAP-II ChIP-seq reads from 26 different data sets that include six human cell-types and 10 distinct mouse cell/tissues. The updated MPromDb version consists of computationally predicted (novel) and known active RNAP-II promoters (42 893 human and 48 366 mouse promoters) from various data sets freely available at NCBI GEO database. We found that 36% and 40% of protein-coding genes have alternative promoters in human and mouse genomes and ∼40% of promoters are tissue/cell specific. The identified RNAP-II promoters were annotated using various known and novel gene models. Additionally, for novel promoters we looked into other evidences—GenBank mRNAs, spliced ESTs, CAGE promoter tags and mRNA-seq reads. Users can search the database based on gene id/symbol, or by specific tissue/cell type and filter results based on any combination of tissue/cell specificity, Known/Novel, CpG/NonCpG, and protein-coding/non-coding gene promoters. We have also integrated GBrowse genome browser with MPromDb for visualization of ChIP-seq profiles and to display the annotations. The current release of MPromDb can be accessed at http://bioinformatics.wistar.upenn.edu/MPromDb/.
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影响因子:
3
作者:
Gupta R;Wikramasinghe P;Bhattacharyya A;Perez FA;Pal S;Davuluri RV
通讯作者:
Davuluri RV
DOI:
10.1126/science.1162253
发表时间:
2008-12-19
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Seila AC;Calabrese JM;Levine SS;Yeo GW;Rahl PB;Flynn RA;Young RA;Sharp PA
通讯作者:
Sharp PA
DOI:
10.1126/science.1183621
发表时间:
2010-04-09
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
Kasowski M;Grubert F;Heffelfinger C;Hariharan M;Asabere A;Waszak SM;Habegger L;Rozowsky J;Shi M;Urban AE;Hong MY;Karczewski KJ;Huber W;Weissman SM;Gerstein MB;Korbel JO;Snyder M
通讯作者:
Snyder M
影响因子:
7
作者:
Barski, Artem;Jothi, Raja;Zhao, Keji
通讯作者:
Zhao, Keji
影响因子:
14.9
作者:
Rhead B;Karolchik D;Kuhn RM;Hinrichs AS;Zweig AS;Fujita PA;Diekhans M;Smith KE;Rosenbloom KR;Raney BJ;Pohl A;Pheasant M;Meyer LR;Learned K;Hsu F;Hillman-Jackson J;Harte RA;Giardine B;Dreszer TR;Clawson H;Barber GP;Haussler D;Kent WJ
通讯作者:
Kent WJ