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

Papers: 10.1186/s13059-020-1935-5

https://doi.org/10.1186/s13059-020-1935-5

Opportunities and challenges in long-read sequencing data analysis

Cited by: 1,295
Author(s): Shanika L. Amarasinghe, Shian Su, Xueyi Dong, Luke Zappia, Matthew E. Ritchie, Quentin Gouil
Published: over 5 years ago

Software Mentions 9

bioconductor: DESeq2
Differential gene expression analysis based on the negative binomial distribution
Papers that mentioned: 9,583
Very Likely Science (100)
bioconductor: DRIMSeq
Differential transcript usage and tuQTL analyses with Dirichlet-multinomial model in RNA-seq
Papers that mentioned: 17
Very Likely Science (100)
bioconductor: edgeR
Empirical Analysis of Digital Gene Expression Data in R
Papers that mentioned: 6,568
Very Likely Science (100)
bioconductor: limma
Linear Models for Microarray Data
Papers that mentioned: 7,776
Very Likely Science (78)
cran: TULIP
A Toolbox for Linear Discriminant Analysis with Penalties
Papers that mentioned: 20
Very Likely Science (93)
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: IsoCon
Pipeline for obtaining non-redundant haplotype specific transcript isoforms using PacBio IsoSeq reads.
Papers that mentioned: 4
Very Likely Science (91)
pypi: kinetics
Python code to run kinetic models of enzyme reactions
Papers that mentioned: 6
Very Likely Science (90)
pypi: signalAlign
A library for signal-level analysis of ONT data
Papers that mentioned: 4
Very Likely Science (100)