awesome-single-cell
Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc. (by seandavi)
scDblFinder
Methods for detecting doublets in single-cell sequencing data (by plger)
awesome-single-cell | scDblFinder | |
---|---|---|
3 | 1 | |
2,927 | 133 | |
- | - | |
5.2 | 6.7 | |
about 2 months ago | about 2 months ago | |
R | ||
MIT License | GNU General Public License v3.0 only |
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
scDblFinder
Posts with mentions or reviews of scDblFinder.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Are there any methods for doublet deconvolution?
The scDblFinder method identifies doublets by combining singlet profiles to generate artificial doublets, then finding the nearest neighbors to those artificial profiles. You could use this approach to deconvolve your doublets, inferring that the two cells in the actual observed doublet are of the same cell types as those used to generate the nearest artificial doublet profile.
What are some alternatives?
When comparing awesome-single-cell and scDblFinder you can also consider the following projects:
cellsnp-lite - Efficient genotyping bi-allelic SNPs on single cells
MultiQC - Aggregate results from bioinformatics analyses across many samples into a single report.
Baltica - Baltica: integrated differential junction usage
Awesome-Bioinformatics - A curated list of awesome Bioinformatics libraries and software.
DGE_workshop