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

Papers: 10.1136/jitc-2020-002071

https://doi.org/10.1136/jitc-2020-002071

HLA Ligand Atlas: a benign reference of HLA-presented peptides to improve T-cell-based cancer immunotherapy

Cited by: 109
Author(s): Ana Marcu, Leon Bichmann, Lèon Kuchenbecker, Daniel J. Kowalewski, Lena Katharina Freudenmann, Linus Backert, Lena Mühlenbruch, András Szolek, Maren Lübke, Philipp Wagner, Tobias Engler, Sabine Matovina, Jian Wang, Mathias Hauri-Hohl, Thierry Martin, Konstantina Kapolou, Juliane S. Walz, Julia Velz, Holger Moch, Luca Regli, Manuela Silginer, Michael Weller, Markus Löffler, Florian Erhard, Andreas Schlösser, Oliver Kohlbacher, Stefan Stevanović, Hans Georg Rammensee, Marian C. Neidert
Published: over 4 years ago

Software Mentions 8

bioconductor: mzR
parser for netCDF, mzXML, mzData and mzML and mzIdentML files (mass spectrometry data)
Papers that mentioned: 12
Very Likely Science (100)
cran: corrplot
Visualization of a Correlation Matrix
Papers that mentioned: 1,077
Very Likely Science (100)
cran: ggplot2
Create Elegant Data Visualisations Using the Grammar of Graphics
Papers that mentioned: 11,441
Very Likely Science (100)
cran: protViz
Visualizing and Analyzing Mass Spectrometry Related Data in Proteomics
Papers that mentioned: 4
Very Likely Science (100)
pypi: enrichr
Security Enrichment Framework
Papers that mentioned: 18
Likely Science (50)
pypi: gseapy
Gene Set Enrichment Analysis in Python
Papers that mentioned: 14
Very Likely Science (100)
pypi: stats
Calculator-style statistical functions
Papers that mentioned: 3,105
Very Likely Science (90)
pypi: tslearn
A machine learning toolkit dedicated to time-series data
Papers that mentioned: 5
Very Likely Science (75)