Back to Topics Directory
Topic Hub

#transcriptomics (13 Repositories)

Ranked open-source repositories tagged with #transcriptomics, scored by pull request acceptance likelihood and maintainer engagement velocity.

Topic Avg Merge Rate

57.0%

Avg Review Latency

54.9h

Filter by language

13 repositories tagged #transcriptomics

S TierPython 141

GuyTeichman/RNAlysis

Analyze your RNA sequencing data without writing a single line of code

93.0%
Merge Rate
3h
First Review
100%
1st-Timers
5
Maintainers
A TierPython 772 1 GFIs

scverse/anndata

Annotated data.

82.1%
Merge Rate
4d
First Review
60%
1st-Timers
13
Maintainers
A TierMAMakefile 208

obophenotype/cell-ontology

An ontology of cell types

43.5%
Merge Rate
1h
First Review
33%
1st-Timers
6
Maintainers
A TierPython 2.5k

scverse/scanpy

Single-cell analysis in Python. Scales to >100M cells.

80.3%
Merge Rate
8d
First Review
55%
1st-Timers
16
Maintainers
B TierRust 215

COMBINE-lab/alevin-fry

🐟 🔬🦀 alevin-fry is an efficient and flexible tool for processing single-cell sequencing data, currently focused on single-cell transcriptomics and feature barcoding.

75.0%
Merge Rate
8h
First Review
50%
1st-Timers
2
Maintainers
B TierPython 292

scverse/decoupler

Python package to perform enrichment analysis from omics data.

100.0%
Merge Rate
1d
First Review
100%
1st-Timers
1
Maintainers
B TierPython 234

ablab/IsoQuant

A universal toolkit for upstream processing of long RNA reads

55.6%
Merge Rate
7d
First Review
100%
1st-Timers
1
Maintainers
B TierPython 168

GoekeLab/xpore

Identification of differential RNA modifications from nanopore direct RNA sequencing

100.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
B TierR 231

iSEE/iSEE

R/shiny interface for interactive visualization of data in SummarizedExperiment objects

100.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
C TierJavaScript 101

lilab-bcb/cirrocumulus

Bring your single-cell data to life

11.1%
Merge Rate
6d
First Review
0%
1st-Timers
1
Maintainers
D TierR 258

GoekeLab/bambu

Reference-guided transcript discovery and quantification for long read RNA-Seq data

0.0%
Merge Rate
3d
First Review
0%
1st-Timers
5
Maintainers
D TierR 247

ZJUFanLab/scCATCH

Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers
D TierPython 643

aertslab/pySCENIC

pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.

0.0%
Merge Rate
-
First Review
0%
1st-Timers
0
Maintainers