| Name | Version | Summary | date |
| 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 |
| omicverse |
1.5.8 |
OmicVerse: A single pipeline for exploring the entire transcriptome universe |
2024-02-23 21:41:02 |
| 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 |
| DeSide |
1.2.2 |
A DEep-learning and SIngle-cell based DEconvolution method for solid tumors |
2024-02-03 13:44:37 |
| Augusta |
1.0.5 |
Python package for inference of the gene regulatory network and the boolean network using RNA-Seq data. |
2024-01-22 13:48:48 |
| trisicell |
0.2.3 |
|
2023-12-23 22:08:50 |
| ncbi-counts |
0.1.0 |
Download the NCBI-generated RNA-seq count data by specifying the Series accession number(s), and the regular expression of the Sample attributes. |
2023-12-05 02:16:57 |
| RSeQC |
5.0.3 |
RNA-seq QC Package |
2023-10-09 03:30:26 |
| 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 |