Baltica
Baltica: integrated differential junction usage (by dieterich-lab)
FastIntegration
FastIntegrate integrates thousands of scRNA-seq datasets and outputs batch-corrected values for downstream analysis (by JinmiaoChenLab)
Baltica | FastIntegration | |
---|---|---|
1 | 1 | |
7 | 21 | |
- | - | |
2.6 | 0.0 | |
about 1 year ago | over 1 year ago | |
R | R | |
MIT License | - |
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.
Baltica
Posts with mentions or reviews of Baltica.
We have used some of these posts to build our list of alternatives
and similar projects.
-
Novel Splice Variants in RNAseq Data
Also, we've been working on a framework with multiple workflows for differential splicing: Baltica: integrated differential junction usage (DJU) https://github.com/dieterich-lab/Baltica . Please have on mind that Baltica is work in progress, but the workflows are quite mature. Fell free to contact me if you have any questions!
FastIntegration
Posts with mentions or reviews of FastIntegration.
We have used some of these posts to build our list of alternatives
and similar projects.
-
How to integrate 2 million+ cells from scRNA-seq dataset without needing a huge amount of RAM?
I found an implementation of Seurat called FastIntegration which I think should work, but I am waiting on IT to grant me permission to run a cluster job with more RAM (1 TB wasn't enough). In the meantime, I am searching for another option - ideally, one that doesn't need terabytes of RAM.
What are some alternatives?
When comparing Baltica and FastIntegration you can also consider the following projects:
awesome-single-cell - Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
rhmmer - Simple R utilities for working with HMMER
drugfindR - Repository holding the code for the drugfindR R package
ermineR - R wrapper for ermineJ