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Paper Details

Splice Expression Variation Analysis (SEVA) for inter-tumor heterogeneity of gene isoform usage in cancer.
Bioinformatics
6
2018
HPV-negative samples, RNA-seq, cancer, gene, gene isoform, head and neck cancer, isoform, normal samples, normal tissues, novel splice variants, splice variant, splice variants, tumor
Author NameAffiliation
Theresa Guo
Theresa Guo
Michael J ConsidineSidney Kimmel Comprehensive Cancer Center.
Genevieve L Stein-O'BrienSidney Kimmel Comprehensive Cancer Center.
Patrick K HaUniversity of California san francisco
Donald GemanJohns Hopkins University
Michael F OchsThe College of New Jersey
Michael F OchsThe College of New Jersey
Joseph A CalifanoUniversity of California
Daria A Gaykalova
Alexander V FavorovSidney Kimmel Comprehensive Cancer Center.
Alexander V FavorovVavilov Institute of General Genetics
Alexander V FavorovSidney Kimmel Comprehensive Cancer Center.
Alexander V FavorovVavilov Institute of General Genetics
Elana J FertigSidney Kimmel Comprehensive Cancer Center.
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Datasets

Dataset
Description
Source Link
SEVASEVA 4.0: an update of the Standard European Vector Architecture database fLink
SEVASEVA 4.0: an update of the Standard European Vector Architecture database fLink
Release 1.2