Ecosyste.ms: Papers
An open API service providing mapping between scientific papers and software projects that are mentioned in them.
All mentions data is based on the CZI Software Mentions dataset.
Papers: 10.1186/s13073-021-00866-2
https://doi.org/10.1186/s13073-021-00866-2
Genetic and non-genetic factors affecting the expression of COVID-19-relevant genes in the large airway epithelium
Cited by: 21
Author(s): Silva Kasela, Victor E. Ortega, Molly Martorella, Suresh Garudadri, Jennifer Nguyen, Elizabeth J. Ampleford, Anu Pasanen, Srilaxmi Nerella, Kristina L. Buschur, Igor Barjaktarević, R. Graham Barr, Eugene R. Bleecker, Russell P. Bowler, Alejandro P. Comellas, Christopher B. Cooper, David Couper, Gerard J. Criner, Jeffrey L. Curtis, MeiLan K. Han, Nadia N. Hansel, Eric A. Hoffman, Robert J. Kaner, Jerry A. Krishnan, Fernando J. Martínez, Merry-Lynn McDonald, Deborah A. Meyers, Robert Paine, Stephen P. Peters, Mario Castro, Loren C. Denlinger, Serpil C. Erzurum, John V. Fahy, Elliot Israel, Nizar N. Jarjour, Bruce D. Levy, Xingnan Li, Wendy C. Moore, Sally E. Wenzel, Joe Zein, Charles Langelier, Prescott G. Woodruff, Tuuli Lappalainen, Stephanie A. Christenson
Published: over 3 years ago
Software Mentions 8
bioconductor: CAMERA
Collection of annotation related methods for mass spectrometry dataPapers that mentioned: 429
bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distributionPapers that mentioned: 9,583
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in RPapers that mentioned: 6,568