r-easyrnaseq
|
2.38.0-1 |
0 |
0.00
|
Count summarization and normalization for RNA-Seq data |
BioArchLinuxBot
|
2023-10-27 09:50 (UTC) |
r-lineagepulse
|
1.21.0-1 |
0 |
0.00
|
Differential expression analysis and model fitting for single-cell RNA-seq data |
BioArchLinuxBot
|
2023-10-27 07:57 (UTC) |
r-ebseqhmm
|
1.35.0-1 |
0 |
0.00
|
Bayesian analysis for identifying gene or isoform expression changes in ordered RNA-seq experiments |
BioArchLinuxBot
|
2023-10-26 06:46 (UTC) |
tophat
|
2.1.2-3 |
10 |
0.00
|
fast splice junction mapper for RNA-Seq reads |
malacology
|
2023-06-01 21:28 (UTC) |
cufflinks
|
2.2.2.20190706.162801-2 |
2 |
0.00
|
Transcriptome assembly and differential expression analysis for RNA-Seq. |
malacology
|
2023-06-01 21:03 (UTC) |
subread
|
2.0.6-1 |
0 |
0.00
|
a general-purpose read aligner which can align both genomic DNA-seq and RNA-seq reads, https://doi.org/10.1093/nar/gkt214 |
kbipinkumar
|
2023-05-10 06:01 (UTC) |
r-rnaseqr
|
1.16.0-4 |
0 |
0.00
|
RNASeqR: an R package for automated two-group RNA-Seq analysis workflow |
BioArchLinuxBot
|
2023-04-29 08:38 (UTC) |
r-conclus
|
1.5.0-4 |
0 |
0.00
|
ScRNA-seq Workflow CONCLUS - From CONsensus CLUSters To A Meaningful CONCLUSion |
BioArchLinuxBot
|
2023-04-29 07:00 (UTC) |
r-celltree
|
1.27.0-4 |
0 |
0.00
|
Inference and visualisation of Single-Cell RNA-seq data as a hierarchical tree structure |
BioArchLinuxBot
|
2023-04-29 05:11 (UTC) |
regtools-git
|
1.0.0.r0.3068563-1 |
0 |
0.00
|
Tools that integrate DNA-seq and RNA-seq data to help interpret mutations in a regulatory and splicing context |
levitsky
|
2023-01-30 20:37 (UTC) |
r-mmappr2
|
1.10.0-4 |
0 |
0.00
|
Mutation Mapping Analysis Pipeline for Pooled RNA-Seq |
BioArchLinuxBot
|
2022-11-04 06:36 (UTC) |
r-countclust
|
1.23.1-4 |
0 |
0.00
|
Clustering and Visualizing RNA-Seq Expression Data using Grade of Membership Models |
BioArchLinuxBot
|
2022-11-04 06:07 (UTC) |
python-loompy
|
3.0.7-2 |
0 |
0.00
|
Python implementation of the Loom file format for single-cell RNA-seq data |
flying-sheep
|
2022-09-16 15:15 (UTC) |
cufflinks-bin
|
2.2.1-1 |
2 |
0.00
|
Transcriptome assembly and differential expression analysis for RNA-Seq. |
vejnar
|
2022-08-03 12:49 (UTC) |
r-nbpseq
|
0.3.1-1 |
0 |
0.00
|
Negative Binomial Models for RNA-Sequencing Data |
BioArchLinuxBot
|
2022-06-09 13:04 (UTC) |
r-scclassifr
|
1.2.0-3 |
0 |
0.00
|
Pretrained learning models for cell type prediction on single cell RNA-sequencing data |
BioArchLinuxBot
|
2022-06-07 13:21 (UTC) |
r-saver
|
1.1.2-4 |
0 |
0.00
|
Single-Cell RNA-Seq Gene Expression Recovery |
BioArchLinuxBot
|
2022-06-06 14:00 (UTC) |
r-drimpute
|
1.0-4 |
0 |
0.00
|
Imputing Dropout Events in Single-Cell RNA-Sequencing Data |
BioArchLinuxBot
|
2022-06-06 00:34 (UTC) |
kallisto
|
0.48.0-1 |
4 |
0.00
|
Quantify abundances of transcripts from RNA-Seq data |
flying-sheep
|
2022-01-25 09:04 (UTC) |
rsem
|
1.3.3-1 |
3 |
0.00
|
accurate quantification of gene and isoform expression from RNA-Seq data |
greyltc
|
2020-11-01 13:52 (UTC) |
star-seq-alignment
|
2.7.2a-1 |
0 |
0.00
|
An RNA-seq alignment suite, by Alexander Dobin |
nigeil
|
2019-08-19 15:50 (UTC) |
cufflinks-git
|
v2.2.1.r83.gb4fa050-1 |
0 |
0.00
|
Cufflinks assembles transcripts, estimates their abundances, and tests for differential expression and regulation in RNA-Seq samples.. |
greyltc
|
2019-05-25 20:27 (UTC) |