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

Papers: 10.1186/s12859-020-03866-y

https://doi.org/10.1186/s12859-020-03866-y

Increased biological relevance of transcriptome analyses in human skeletal muscle using a model-specific pipeline

Cited by: 7
Author(s): Yusuf Khan, Daniel Hammarström, Bent R. Rønnestad, Stian Ellefsen, Rafi Ahmad
Published: over 4 years ago

Software Mentions 10

bioconductor: clusterProfiler
A universal enrichment tool for interpreting omics data
Papers that mentioned: 2,223
Very Likely Science (75)
bioconductor: fgsea
Fast Gene Set Enrichment Analysis
Papers that mentioned: 150
Very Likely Science (100)
cran: DHARMa
Residual Diagnostics for Hierarchical (Multi-Level / Mixed) Regression Models
Papers that mentioned: 194
Very Likely Science (100)
cran: glmmTMB
Generalized Linear Mixed Models using Template Model Builder
Papers that mentioned: 373
Very Likely Science (100)
cran: STAR
Spike Train Analysis with R
Papers that mentioned: 5,759
Very Likely Science (100)
cran: tmod
Feature Set Enrichment Analysis for Metabolomics and Transcriptomics
Papers that mentioned: 18
Very Likely Science (91)
pypi: analysis
Source code analysis of Python programs
Papers that mentioned: 2,036
Very Likely Science (90)
pypi: HTSeq
A framework to process and analyze data from high-throughput sequencing (HTS) assays
Papers that mentioned: 3,071
Very Likely Science (65)
pypi: kallisto
The Kallisto software enables the efficient calculation of atomic features that can be used within a quantitative structure-activity relationship (QSAR) approach. Furthermore, several modelling helpers are implemented.
Papers that mentioned: 307
Very Likely Science (100)
pypi: tmod
A tool to work with tModLoader .tmod files.
Papers that mentioned: 18
Very Likely Science (65)