awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc. (by seandavi)
cellsnp-lite
Efficient genotyping bi-allelic SNPs on single cells (by single-cell-genetics)
awesome-single-cell | cellsnp-lite | |
---|---|---|
3 | 1 | |
2,927 | 118 | |
- | 3.4% | |
5.2 | 7.1 | |
about 2 months ago | about 1 month ago | |
C | ||
MIT License | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
awesome-single-cell
Posts with mentions or reviews of awesome-single-cell.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-21.
- Staying up to date with processes/technology.
- Ex Python users who switched to 100% R (or almost)
-
Guidance regarding bulk and scRNA seq analysis.
That may be useful: https://github.com/seandavi/awesome-single-cell
cellsnp-lite
Posts with mentions or reviews of cellsnp-lite.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-03-20.
-
Genotype single cell data?
Commenting in case anyone else needs a solution: cellSNP-lite took in the bam files and generated variant calls. Can be used with or without a list of SNPs for comparisons, RNA, ATAC, bulk or single cell!
What are some alternatives?
When comparing awesome-single-cell and cellsnp-lite you can also consider the following projects:
MultiQC - Aggregate results from bioinformatics analyses across many samples into a single report.
popscle - A suite of population scale analysis tools for single-cell genomics data including implementation of Demuxlet / Freemuxlet methods and auxilary tools
Baltica - Baltica: integrated differential junction usage
cellSNP - Pileup biallelic SNPs from single-cell and bulk RNA-seq data
Awesome-Bioinformatics - A curated list of awesome Bioinformatics libraries and software.
scDblFinder - Methods for detecting doublets in single-cell sequencing data
DGE_workshop