Papers: 10.1186/s12943-017-0691-y
https://doi.org/10.1186/s12943-017-0691-y
Multi-omics of 34 colorectal cancer cell lines - a resource for biomedical studies
Cited by: 212
Author(s): Kaja Christine Graue Berg, Peter W. Eide, Ina A. Eilertsen, Bjarne Johannessen, Jarle Bruun, Stine A. Danielsen, Merete Bjørnslett, Leonardo A. Meza‐Zepeda, Mette Eknæs, Guro Elisabeth Lind, Ola Myklebost, Rolf Inge Skotheim, Anita Sveen, Ragnhild Lothe
Published: about 8 years ago
Software Mentions 6
bioconductor: GenomicRanges
Representation and manipulation of genomic intervalsPapers that mentioned: 323
Very Likely Science (90)
bioconductor: GSVA
Gene Set Variation Analysis for microarray and RNA-seq dataPapers that mentioned: 893
Very Likely Science (100)
bioconductor: rtracklayer
R interface to genome annotation files and the UCSC genome browserPapers that mentioned: 107
Very Likely Science (90)
Very Likely Science (90)
Very Likely Science (90)
pypi: GSVA
Python CLI and module for running the GSVA R bioconductor package with Python Pandas inputs and outputs.Papers that mentioned: 893
Very Likely Science (100)