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

Papers: 10.1186/s12864-016-3038-y

https://doi.org/10.1186/s12864-016-3038-y

A full-body transcriptome and proteome resource for the European common carp

Cited by: 33
Author(s): Iris Kolder, Suzanne J. van der Plas-Duivesteijn, Ge Tan, G.F. Wiegertjes, Maria Forlenza, Arzu Güler, Dmitrii Y. Travin, Minoru Nakao, Tadaaki Moritomo, Ilgiz Irnazarow, Johan T. den Dunnen, Seyed Yahya Anvar, Hans J. Jansen, Ron P. Dirks, Magnus Palmblad, Boris Lenhard, Christiaan V. Henkel, Herman P. Spaink
Published: almost 9 years ago

Software Mentions 14

bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
cran: colorspace
A Toolbox for Manipulating and Assessing Colors and Palettes
Papers that mentioned: 31
Very Likely Science (75)
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: gplots
Various R Programming Tools for Plotting Data
Papers that mentioned: 2,122
Very Likely Science (85)
cran: lattice
Trellis Graphics for R
Papers that mentioned: 251
Very Likely Science (85)
cran: maps
Draw Geographical Maps
Papers that mentioned: 137
Very Likely Science (75)
cran: maptools
Tools for Handling Spatial Objects
Papers that mentioned: 269
Very Likely Science (75)
cran: sp
Classes and Methods for Spatial Data
Papers that mentioned: 258
Very Likely Science (95)
pypi: colorspace
A small collection of hex-colors.
Papers that mentioned: 31
Very Likely Science (65)
pypi: lattice
A framework for developing data models, including schema development and documentation.
Papers that mentioned: 251
Very Likely Science (80)
pypi: maps
Maps: flavors of Python dictionaries
Papers that mentioned: 137
Very Likely Science (65)
pypi: maptools
Manipulate maps
Papers that mentioned: 269
Very Likely Science (100)
pypi: sp
Quickly find out which directories / files are hogging your disk space.
Papers that mentioned: 258
Very Likely Science (65)