| Name | Version | Summary | date |
| singlecell-cookbook |
0.3.1 |
A collection of tools for analyzing single-cell genomics data. |
2024-12-19 00:53:42 |
| RSeQC |
5.0.4 |
QC package for RNA-seq data. |
2024-10-03 17:56:04 |
| mirtop |
0.4.27 |
Small RNA-seq annotation |
2024-09-13 20:38:50 |
| akey |
0.0.5 |
akey |
2024-04-04 12:59:03 |
| Curare |
0.6.0 |
Curare: A Customizable and Reproducible Analysis Pipeline for RNA-Seq Experiments |
2024-02-27 19:05:00 |
| uce-model |
0.1.4 |
Universal Cell Embedding model for single-cell RNA-seq data |
2024-02-19 22:59:36 |
| xsc |
0.0.12 |
xsc |
2024-02-04 19:17:59 |
| trisicell |
0.2.3 |
|
2023-12-23 22:08:50 |
| km-walk |
2.2.1 |
A software for RNA-seq investigation using k-mer decomposition |
2023-08-01 21:04:11 |
| pyeasyfuse |
2.0.3 |
EasyFuse is a pipeline to detect fusion transcripts from RNA-seq data with high accuracy. |
2023-07-20 19:31:05 |
| brooklyn-plot |
0.0.3 |
Gene co-expression and transcriptional bursting pattern recognition tool in single cell/nucleus RNA-sequencing data |
2023-04-06 17:53:00 |
| rna-seq-normalization |
0.3.0 |
Python package used for performing RNA-Seq normalization. It contains the three most popular techniques: TPM, RPKM and CPM. |
2023-03-15 14:37:57 |
| scHash |
1.4.4.3 |
scHash package for scRNA-seq data integration |
2023-01-27 03:39:17 |