Open AccessCONICS integrates scRNA-seq with DNA sequencing to map gene expression to tumor sub-clones
Author(s) -
Sören Müller,
Ara Cho,
Siyuan J. Liu,
Daniel A. Lim,
Aaron A. Diaz
Publication year - 2018
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bty316
Subject(s) - biology , clone (java method) , rna seq , computational biology , gene , dna sequencing , genetics , transcriptome , gene expression
Single-cell RNA-sequencing (scRNA-seq) has enabled studies of tissue composition at unprecedented resolution. However, the application of scRNA-seq to clinical cancer samples has been limited, partly due to a lack of scRNA-seq algorithms that integrate genomic mutation data.
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