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

Papers: 10.1371/journal.pbio.2006092

https://doi.org/10.1371/journal.pbio.2006092

Refined RIP-seq protocol for epitranscriptome analysis with low input materials

Cited by: 97
Author(s): Yong Zeng, Shiyan Wang, Shanshan Gao, Fraser Soares, Musadeqque Ahmed, Haiyang Guo, Miranda Wang, Junjie Hua, Jiansheng Guan, Michael F. Moran, Ming‐Sound Tsao, Housheng Hansen He
Published: almost 7 years ago

Software Mentions 6

bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
Very Likely Science (100)
cran: Andromeda
Asynchronous Disk-Based Representation of Massive Data
Papers that mentioned: 1,724
Very Likely Science (85)
cran: STAR
Spike Train Analysis with R
Papers that mentioned: 5,759
Very Likely Science (100)
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: MACS
Model Based Analysis for ChIP-Seq data
Papers that mentioned: 1,233
Very Likely Science (75)
pypi: RSeQC
RNA-seq QC Package
Papers that mentioned: 366
Very Likely Science (80)