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

Papers: 10.1371/journal.pgen.1009240

https://doi.org/10.1371/journal.pgen.1009240

Analysis of cell-type-specific chromatin modifications and gene expression in Drosophila neurons that direct reproductive behavior

Cited by: 5
Author(s): Colleen M Palmateer, Shawn C. Moseley, Surjyendu Ray, Savannah G Brovero, Michelle N. Arbeitman
Published: over 4 years ago

Software Mentions 11

bioconductor: clusterProfiler
A universal enrichment tool for interpreting omics data
Papers that mentioned: 2,223
Very Likely Science (75)
bioconductor: DiffBind
Differential Binding Analysis of ChIP-Seq Peak Data
Papers that mentioned: 217
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: GeneOverlap
Test and visualize gene overlaps
Papers that mentioned: 40
Very Likely Science (95)
cran: BioVenn
Create Area-Proportional Venn Diagrams from Biological Lists
Papers that mentioned: 247
Very Likely Science (75)
cran: STAR
Spike Train Analysis with R
Papers that mentioned: 5,759
Very Likely Science (100)
cran: UpSetR
A More Scalable Alternative to Venn and Euler Diagrams for Visualizing Intersecting Sets
Papers that mentioned: 319
Very Likely Science (100)
pypi: BioVenn
BioVenn: Create Area-Proportional Venn Diagrams from Biological Lists
Papers that mentioned: 247
Very Likely Science (65)
pypi: deepTools
Useful tools for exploring deep sequencing data.
Papers that mentioned: 435
Very Likely Science (90)
pypi: epic2
Ultraperformant ChIP-Seq broad peak/domain finder.
Papers that mentioned: 3
Very Likely Science (100)
pypi: MACS2
Model Based Analysis for ChIP-Seq data
Papers that mentioned: 1,203
Very Likely Science (100)