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Papers: 10.1038/s41597-019-0183-6

https://doi.org/10.1038/s41597-019-0183-6

CommonMind Consortium provides transcriptomic and epigenomic data for Schizophrenia and Bipolar Disorder

Cited by: 127
Author(s): Gabriel E. Hoffman, Jaroslav Bendl, Georgios Voloudakis, Kelsey S. Montgomery, Laura Sloofman, Ying-Chih Wang, Hardik Shah, Mads E. Hauberg, Jessica Johnson, Kiran Girdhar, Lingyun Song, John F. Fullard, Robin Kramer, Chang-Gyu Hahn, Raquel E. Gur, Stefano Marenco, Barbara K. Lipska, David A. Lewis, Vahram Haroutunian, Scott E. Hemby, Patrick F. Sullivan, Schahram Akbarian, Andrew Chess, Joseph D. Buxbaum, Greg Crawford, Enrico Domenici, Bernie Devlin, Solveig K. Sieberts, Mette A. Peters, Panos Roussos
Published: about 7 years ago

Software Mentions 8

bioconductor: cqn
Conditional quantile normalization
Papers that mentioned: 14
Very Likely Science (90)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: GenomicFeatures
Conveniently import and query gene models
Papers that mentioned: 141
Very Likely Science (90)
bioconductor: Rsubread
Mapping, quantification and variant analysis of sequencing data
Papers that mentioned: 331
Very Likely Science (100)
cran: Eagle
Multiple Locus Association Mapping on a Genome-Wide Scale
Papers that mentioned: 140
Very Likely Science (75)
cran: STAR
Spike Train Analysis with R
Papers that mentioned: 5,759
Very Likely Science (100)
pypi: bim
Benchmark interpretability methods.
Papers that mentioned: 1
Very Likely Science (75)
pypi: MACS
Model Based Analysis for ChIP-Seq data
Papers that mentioned: 1,233
Very Likely Science (75)