OncoSplicing: an updated database for clinically relevant alternative splicing in 33 human cancers.
OncoSplicing: an updated database for clinically relevant alternative splicing in 33 human cancers.
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OncoSplicing:33 种人类癌症临床相关选择性剪接的更新数据库
DOI:
10.1093/nar/gkab851
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发表时间:
2022-01-07
影响因子:
14.9
通讯作者:
Xu H
中科院分区:
文献类型:
--
作者:
Zhang Y;Yao X;Zhou H;Wu X;Tian J;Zeng J;Yan L;Duan C;Liu H;Li H;Chen K;Hu Z;Ye Z;Xu H
Alternative splicing (AS) represents a crucial method in mRNA level to regulate gene expression and contributes to the protein complexity. Abnormal splicing has been reported to play roles in several diseases, including cancers. We developed the OncoSplicing database for visualization of survival-associated and differential alternative splicing in 2019. Here, we provide an updated version of OncoSplicing for an integrative view of clinically relevant alternative splicing based on 122 423 AS events across 33 cancers in the TCGA SpliceSeq project and 238 558 AS events across 32 cancers in the TCGA SplAdder project. The new version of the database contains several useful features, such as annotation of alternative splicing-associated transcripts, survival analysis based on median and optimal cut-offs, differential analysis between TCGA tumour samples and adjacent normal samples or GTEx normal samples, pan-cancer views of alternative splicing, splicing differences and results of Cox’PH regression, identification of clinical indicator-relevant and cancer-specific splicing events, and downloadable splicing data in the SplAdder project. Overall, the substantially updated version of OncoSplicing (www.oncosplicing.com) is a user-friendly and registration-free database for browsing and searching clinically relevant alternative splicing in human cancers.
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影响因子:
14.9
作者:
Harrison PW;Ahamed A;Aslam R;Alako BTF;Burgin J;Buso N;Courtot M;Fan J;Gupta D;Haseeb M;Holt S;Ibrahim T;Ivanov E;Jayathilaka S;Balavenkataraman Kadhirvelu V;Kumar M;Lopez R;Kay S;Leinonen R;Liu X;O'Cathail C;Pakseresht A;Park Y;Pesant S;Rahman N;Rajan J;Sokolov A;Vijayaraja S;Waheed Z;Zyoud A;Burdett T;Cochrane G
通讯作者:
Cochrane G
影响因子:
14.9
作者:
Howe KL;Achuthan P;Allen J;Allen J;Alvarez-Jarreta J;Amode MR;Armean IM;Azov AG;Bennett R;Bhai J;Billis K;Boddu S;Charkhchi M;Cummins C;Da Rin Fioretto L;Davidson C;Dodiya K;El Houdaigui B;Fatima R;Gall A;Garcia Giron C;Grego T;Guijarro-Clarke C;Haggerty L;Hemrom A;Hourlier T;Izuogu OG;Juettemann T;Kaikala V;Kay M;Lavidas I;Le T;Lemos D;Gonzalez Martinez J;Marugán JC;Maurel T;McMahon AC;Mohanan S;Moore B;Muffato M;Oheh DN;Paraschas D;Parker A;Parton A;Prosovetskaia I;Sakthivel MP;Salam AIA;Schmitt BM;Schuilenburg H;Sheppard D;Steed E;Szpak M;Szuba M;Taylor K;Thormann A;Threadgold G;Walts B;Winterbottom A;Chakiachvili M;Chaubal A;De Silva N;Flint B;Frankish A;Hunt SE;IIsley GR;Langridge N;Loveland JE;Martin FJ;Mudge JM;Morales J;Perry E;Ruffier M;Tate J;Thybert D;Trevanion SJ;Cunningham F;Yates AD;Zerbino DR;Flicek P
通讯作者:
Flicek P
DOI:
10.1093/bioinformatics/bts452
发表时间:
2012-09-15
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Ryan MC;Cleland J;Kim R;Wong WC;Weinstein JN
通讯作者:
Weinstein JN
影响因子:
14.9
作者:
Ryan M;Wong WC;Brown R;Akbani R;Su X;Broom B;Melott J;Weinstein J
通讯作者:
Weinstein J
影响因子:
9.9
作者:
Hatje K;Rahman RU;Vidal RO;Simm D;Hammesfahr B;Bansal V;Rajput A;Mickael ME;Sun T;Bonn S;Kollmar M
通讯作者:
Kollmar M