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

Papers: 10.1186/s12864-016-3300-3

https://doi.org/10.1186/s12864-016-3300-3

Assessing characteristics of RNA amplification methods for single cell RNA sequencing

Cited by: 32
Author(s): Hannah Dueck, Rizi Ai, Adrian Camarena, Bo Ding, Reymundo Dominguez, Oleg V. Evgrafov, Jian–Bing Fan, Stephen Fisher, Jennifer Herstein, Tae Kyung Kim, Jae Mun Kim, Ming-Yi Lin, Rui Li, William J. Mack, Sean McGroty, Joseph Nguyen, Neeraj Salathia, Jamie Shallcross, Tade Souaiaia, Jennifer M. Spaethling, Christopher Walker, Jinhui Wang, Kai Wang, Wei Wang, André Wildberg, Lina Zheng, Robert H. Chow, James Eberwine, James A. Knowles, Kun Zhang, Junhyong Kim
Published: over 8 years ago

Software Mentions 7

bioconductor: GEM
GEM: fast association study for the interplay of Gene, Environment and Methylation
Papers that mentioned: 317
Very Likely Science (73)
bioconductor: GenomicRanges
Representation and manipulation of genomic intervals
Papers that mentioned: 323
Very Likely Science (90)
bioconductor: Rsamtools
Binary alignment (BAM), FASTA, variant call (BCF), and tabix file import
Papers that mentioned: 138
Very Likely Science (90)
cran: KernSmooth
Functions for Kernel Smoothing Supporting Wand & Jones (1995)
Papers that mentioned: 34
Very Likely Science (83)
cran: STAR
Spike Train Analysis with R
Papers that mentioned: 5,759
Very Likely Science (100)
pypi: environment
This library provides parsing and validation of environment variables.
Papers that mentioned: 569
Very Likely Science (65)
pypi: HTSeq
A framework to process and analyze data from high-throughput sequencing (HTS) assays
Papers that mentioned: 3,071
Very Likely Science (65)