bustools
|
0.43.2-1 |
0 |
0.00
|
Program for manipulating BUS files for single cell RNA-Seq datasets. doi:10.1038/s41587-021-00870-2 |
kbipinkumar
|
2024-01-04 12:09 (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) |
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) |
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) |
kallisto
|
0.48.0-1 |
4 |
0.00
|
Quantify abundances of transcripts from RNA-Seq data |
flying-sheep
|
2022-01-25 09:04 (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) |
r-absseq
|
1.58.0-1 |
0 |
0.00
|
ABSSeq: a new RNA-Seq analysis method based on modelling absolute expression differences |
BioArchLinuxBot
|
2024-05-01 18:32 (UTC) |
r-adverscarial
|
1.2.0-1 |
0 |
0.00
|
generate and analyze the vulnerability of scRNA-seq classifiers to adversarial attacks |
pekkarr
|
2024-05-02 13:16 (UTC) |
r-aggregatebiovar
|
1.14.0-1 |
0 |
0.00
|
Differential Gene Expression Analysis for Multi-subject scRNA-seq |
BioArchLinuxBot
|
2024-05-02 21:29 (UTC) |
r-airway
|
1.24.0-1 |
0 |
0.00
|
RangedSummarizedExperiment for RNA-Seq in airway smooth muscle cells, by Himes et al PLoS One 2014 |
BioArchLinuxBot
|
2024-05-03 07:33 (UTC) |
r-apalyzer
|
1.18.0-1 |
0 |
0.00
|
A toolkit for APA analysis using RNA-seq data |
BioArchLinuxBot
|
2024-05-03 04:48 (UTC) |
r-aspli
|
2.14.0-1 |
0 |
0.00
|
Analysis of Alternative Splicing Using RNA-Seq |
BioArchLinuxBot
|
2024-05-07 12:16 (UTC) |
r-aucell
|
1.26.0-1 |
0 |
0.00
|
AUCell: Analysis of 'gene set' activity in single-cell RNA-seq data (e.g. identify cells with specific gene signatures) |
BioArchLinuxBot
|
2024-05-03 12:21 (UTC) |
r-bambu
|
3.6.0-1 |
0 |
0.00
|
Reference-guided isoform reconstruction and quantification for long read RNA-Seq data |
BioArchLinuxBot
|
2024-05-03 03:18 (UTC) |
r-bgeecall
|
1.18.1-1 |
0 |
0.00
|
Automatic RNA-Seq present/absent gene expression calls generation |
BioArchLinuxBot
|
2023-11-02 00:35 (UTC) |
r-busseq
|
1.10.0-1 |
0 |
0.00
|
Batch Effect Correction with Unknow Subtypes for scRNA-seq data |
BioArchLinuxBot
|
2024-05-02 21:34 (UTC) |
r-caen
|
1.12.0-1 |
0 |
0.00
|
Category encoding method for selecting feature genes for the classification of single-cell RNA-seq |
BioArchLinuxBot
|
2024-05-02 19:31 (UTC) |
r-ccimpute
|
1.6.0-1 |
0 |
0.00
|
an accurate and scalable consensus clustering based approach to impute dropout events in the single-cell RNA-seq data |
pekkarr
|
2024-05-02 05:22 (UTC) |
r-cellity
|
1.32.0-1 |
0 |
0.00
|
Quality Control for Single-Cell RNA-seq Data |
BioArchLinuxBot
|
2024-05-02 23:26 (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) |
r-chetah
|
1.20.0-1 |
0 |
0.00
|
Fast and accurate scRNA-seq cell type identification |
BioArchLinuxBot
|
2024-05-02 21:54 (UTC) |
r-clustifyr
|
1.16.0-1 |
0 |
0.00
|
Classifier for Single-cell RNA-seq Using Cell Clusters |
BioArchLinuxBot
|
2024-05-08 18:15 (UTC) |
r-compartmap
|
1.20.0-1 |
0 |
0.00
|
Higher-order chromatin domain inference in single cells from scRNA-seq and scATAC-seq |
BioArchLinuxBot
|
2024-04-13 18:04 (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-consensusde
|
1.22.0-1 |
0 |
0.00
|
RNA-seq analysis using multiple algorithms |
BioArchLinuxBot
|
2024-05-03 05:29 (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) |
r-customprodb
|
1.44.0-1 |
0 |
0.00
|
Generate customized protein database from NGS data, with a focus on RNA-Seq data, for proteomics search |
BioArchLinuxBot
|
2024-05-07 12:08 (UTC) |
r-damirseq
|
2.16.0-1 |
0 |
0.00
|
Data Mining for RNA-seq data: normalization, feature selection and classification |
BioArchLinuxBot
|
2024-05-03 13:54 (UTC) |
r-dasper
|
1.9.0-3 |
0 |
0.00
|
Detecting abberant splicing events from RNA-sequencing data |
BioArchLinuxBot
|
2024-04-27 20:34 (UTC) |
r-dearseq
|
1.16.0-1 |
0 |
0.00
|
Differential Expression Analysis for RNA-seq data through a robust variance component test |
BioArchLinuxBot
|
2024-05-01 20:37 (UTC) |
r-deconrnaseq
|
1.46.0-1 |
0 |
0.00
|
Deconvolution of Heterogeneous Tissue Samples for mRNA-Seq data |
BioArchLinuxBot
|
2024-05-01 22:46 (UTC) |
r-degnorm
|
1.14.0-1 |
0 |
0.00
|
degradation normalization for RNA-seq data |
BioArchLinuxBot
|
2024-05-08 18:08 (UTC) |
r-degseq
|
1.58.0-1 |
0 |
0.00
|
Identify Differentially Expressed Genes from RNA-seq data |
BioArchLinuxBot
|
2024-05-01 23:24 (UTC) |
r-demuxmix
|
1.6.0-1 |
0 |
0.00
|
Demultiplexing oligo-barcoded scRNA-seq data using regression mixture models |
pekkarr
|
2024-05-02 04:53 (UTC) |
r-derfinder
|
1.38.0-1 |
0 |
0.00
|
Annotation-agnostic differential expression analysis of RNA-seq data at base-pair resolution via the DER Finder approach |
BioArchLinuxBot
|
2024-05-03 08:18 (UTC) |
r-desingle
|
1.24.0-1 |
0 |
0.00
|
DEsingle for detecting three types of differential expression in single-cell RNA-seq data |
BioArchLinuxBot
|
2024-05-01 19:48 (UTC) |
r-desubs
|
1.30.0-1 |
0 |
0.00
|
DEsubs: an R package for flexible identification of differentially expressed subpathways using RNA-seq expression experiments |
BioArchLinuxBot
|
2024-05-02 22:13 (UTC) |
r-dexseq
|
1.50.0-1 |
0 |
0.00
|
Inference of differential exon usage in RNA-Seq |
BioArchLinuxBot
|
2024-05-03 13:01 (UTC) |
r-differentialregulation
|
2.2.0-1 |
0 |
0.00
|
Differentially regulated genes from scRNA-seq data |
pekkarr
|
2024-05-02 21:45 (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) |
r-drimseq
|
1.32.0-1 |
0 |
0.00
|
Differential transcript usage and tuQTL analyses with Dirichlet-multinomial model in RNA-seq |
BioArchLinuxBot
|
2024-05-01 22:25 (UTC) |
r-dune
|
1.16.0-1 |
0 |
0.00
|
Improving replicability in single-cell RNA-Seq cell type discovery |
BioArchLinuxBot
|
2024-05-02 19:38 (UTC) |
r-dupradar
|
1.34.0-1 |
0 |
0.00
|
Assessment of duplication rates in RNA-Seq datasets |
BioArchLinuxBot
|
2024-05-02 05:14 (UTC) |
r-easier
|
1.10.0-1 |
0 |
0.00
|
Estimate Systems Immune Response from RNA-seq data |
BioArchLinuxBot
|
2024-05-03 18:53 (UTC) |
r-easycelltype
|
1.6.0-1 |
0 |
0.00
|
Annotate cell types for scRNA-seq data |
pekkarr
|
2024-05-06 18:06 (UTC) |
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-ebseq
|
2.2.0-1 |
0 |
0.00
|
An R package for gene and isoform differential expression analysis of RNA-seq data |
BioArchLinuxBot
|
2024-05-02 04:46 (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) |
r-edaseq
|
2.38.0-1 |
0 |
0.00
|
Exploratory Data Analysis and Normalization for RNA-Seq |
BioArchLinuxBot
|
2024-05-03 02:23 (UTC) |
r-erssa
|
1.22.0-1 |
0 |
0.00
|
Empirical RNA-seq Sample Size Analysis |
BioArchLinuxBot
|
2024-05-02 22:21 (UTC) |