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

Papers: 10.3390/ijms21218148

https://doi.org/10.3390/ijms21218148

Utilizing PacBio Iso-Seq for Novel Transcript and Gene Discovery of Abiotic Stress Responses in Oryza sativa L.

Cited by: 25
Author(s): Stephanie Schaarschmidt, Axel Fischer, Lovely Mae F Lawas, Rejbana Alam, Endang M. Septiningsih, Julia Bailey‐Serres, Krishna Jagadish, Bruno Huettel, Dirk K. Hincha, Ellen Zuther
Published: over 4 years ago

Software Mentions 11

bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
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: ggpubr
'ggplot2' Based Publication Ready Plots
Papers that mentioned: 856
Very Likely Science (75)
cran: gridExtra
Miscellaneous Functions for "Grid" Graphics
Papers that mentioned: 298
Very Likely Science (85)
cran: Mercator
Clustering and Visualizing Distance Matrices
Papers that mentioned: 347
Very Likely Science (75)
cran: reshape2
Flexibly Reshape Data: A Reboot of the Reshape Package
Papers that mentioned: 421
Very Likely Science (95)
pypi: blast
a simple web-based, multi-platform music/mp3 player written in python, HTML/CSS and javascript
Papers that mentioned: 1,819
Very Likely Science (65)
pypi: ccs
Crypto currencies stocks (ccs) is Python package for communication with stocks which are traiding with crypto currencies. Documentation is placed http://cryptocurrenciesstocks.readthedocs.io
Papers that mentioned: 18
Very Likely Science (65)
pypi: cogent
COmparative GENomics Toolkit
Papers that mentioned: 7
Very Likely Science (100)
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: lima
Lightweight Marshalling of Python 3 Objects.
Papers that mentioned: 40
Very Likely Science (65)