An open API service providing mapping between scientific papers and software projects that are mentioned in them.

Papers: 10.1038/s41598-020-80165-9

https://doi.org/10.1038/s41598-020-80165-9

Multi-level remodelling of chromatin underlying activation of human T cells

Cited by: 23
Author(s): Naiara G. Bediaga, Hannah D. Coughlan, Timothy M. Johanson, Alexandra L. Garnham, Gaetano Naselli, Jan Schröder, Liam G. Fearnley, Esther Bandala‐Sanchez, Rhys S. Allan, Gordon K. Smyth, Leonard C. Harrison
Published: over 4 years ago

Software Mentions 14

bioconductor: ComplexHeatmap
Make Complex Heatmaps
Papers that mentioned: 565
Very Likely Science (90)
bioconductor: diffHic
Differential Analyis of Hi-C Data
Papers that mentioned: 12
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: Glimma
Interactive HTML graphics
Papers that mentioned: 17
Very Likely Science (100)
bioconductor: InteractionSet
Base Classes for Storing Genomic Interaction Data
Papers that mentioned: 6
Very Likely Science (75)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
bioconductor: Rsubread
Mapping, quantification and variant analysis of sequencing data
Papers that mentioned: 331
Very Likely Science (100)
bioconductor: Sushi
Papers that mentioned: 18
Unlikely Science (0)
cran: viridis
Colorblind-Friendly Color Maps for R
Papers that mentioned: 92
Very Likely Science (100)
pypi: ggplot
ggplot for python
Papers that mentioned: 796
Very Likely Science (100)
pypi: inferno
Inferno: a python map/reduce platform powered by disco.
Papers that mentioned: 3
Very Likely Science (65)
pypi: MACS2
Model Based Analysis for ChIP-Seq data
Papers that mentioned: 1,203
Very Likely Science (100)
pypi: NucleoATAC
python package for calling nucleosomes with ATAC-Seq
Papers that mentioned: 17
Very Likely Science (100)
pypi: viridis
Tree data structures and algorithms
Papers that mentioned: 92
Very Likely Science (100)