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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.pcbi.1008585

https://doi.org/10.1371/journal.pcbi.1008585

Preprocessing choices affect RNA velocity results for droplet scRNA-seq data

Cited by: 43
Author(s): Charlotte Soneson, Avi Srivastava, Rob Patro, Michael Stadler
Published: over 4 years ago

Software Mentions 11

bioconductor: BUSpaRse
kallisto | bustools R utilities
Papers that mentioned: 1
Very Likely Science (100)
bioconductor: eisaR
Exon-Intron Split Analysis (EISA) in R
Papers that mentioned: 1
Very Likely Science (100)
bioconductor: GenomicFeatures
Conveniently import and query gene models
Papers that mentioned: 141
Very Likely Science (90)
bioconductor: scater
Single-Cell Analysis Toolkit for Gene Expression Data in R
Papers that mentioned: 79
Very Likely Science (100)
bioconductor: SingleCellExperiment
S4 Classes for Single Cell Data
Papers that mentioned: 36
Very Likely Science (75)
cran: STAR
Spike Train Analysis with R
Papers that mentioned: 5,759
Very Likely Science (100)
pypi: bustools
Python tools for electrical busses
Papers that mentioned: 12
Very Likely Science (65)
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: kb
Access to National Library of the Netherlands datasets
Papers that mentioned: 2
Very Likely Science (100)
pypi: kb-python
Python wrapper around kallisto | bustools for scRNA-seq analysis
Papers that mentioned: 5
Very Likely Science (100)
pypi: velocyto
RNA velocity analysis for single cell RNA-seq data
Papers that mentioned: 25
Very Likely Science (90)