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

Papers: 10.15252/embj.2020104983

https://doi.org/10.15252/embj.2020104983

Interactions between lineage‐associated transcription factors govern haematopoietic progenitor states

Cited by: 17
Author(s): Iwo Kuciński, Nicola K. Wilson, Rebecca Hannah, Sarah Kinston, Pierre Cauchy, Aurelie Lenaerts, Rudolf Grosschedl, Berthold Göttgens
Published: almost 5 years ago

Software Mentions 9

bioconductor: ChIPpeakAnno
Batch annotation of the peaks identified from either ChIP-seq, ChIP-chip experiments or any experiments resulted in large number of chromosome ranges
Papers that mentioned: 145
Very Likely Science (76)
bioconductor: ChIPseeker
ChIPseeker for ChIP peak Annotation, Comparison, and Visualization
Papers that mentioned: 161
Very Likely Science (100)
bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
Very Likely Science (100)
cran: dynamicTreeCut
Methods for Detection of Clusters in Hierarchical Clustering Dendrograms
Papers that mentioned: 49
Very Likely Science (75)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
pypi: dynamicTreeCut
Dynamic Tree Cut
Papers that mentioned: 49
Very Likely Science (85)
pypi: MACS
Model Based Analysis for ChIP-Seq data
Papers that mentioned: 1,233
Very Likely Science (75)
pypi: pybedtools
Wrapper around BEDTools for bioinformatics work
Papers that mentioned: 48
Very Likely Science (100)
pypi: pyDNase
DNase-seq analysis library
Papers that mentioned: 12
Very Likely Science (100)