|
kallisto
|
0.48.0-1 |
4 |
0.00
|
Quantify abundances of transcripts from RNA-Seq data |
flying-sheep
|
2022-01-25 09:04 (UTC) |
|
trinityrnaseq
|
2.15.1-1 |
0 |
0.00
|
Transcriptome assembler for RNA-seq reads https://doi.org/10.1038%2Fnbt.1883 |
malacology
|
2024-02-15 19:27 (UTC) |
|
trinityrnaseq-doc
|
2.15.1-1 |
0 |
0.00
|
Transcriptome assembler for RNA-seq reads https://doi.org/10.1038%2Fnbt.1883 |
malacology
|
2024-02-15 19:27 (UTC) |
|
trinityrnaseq-extra
|
2.15.1-1 |
0 |
0.00
|
Transcriptome assembler for RNA-seq reads https://doi.org/10.1038%2Fnbt.1883 |
malacology
|
2024-02-15 19:27 (UTC) |
|
tophat
|
2.1.2-3 |
10 |
0.00
|
fast splice junction mapper for RNA-Seq reads |
malacology
|
2023-06-01 21:28 (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) |
|
stringtie
|
2.2.2-1 |
0 |
0.00
|
A fast and highly efficient assembler of RNA-Seq alignments into potential transcripts |
malacology
|
2024-04-21 00:02 (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) |
|
star-cshl
|
2.7.11b-1 |
6 |
0.00
|
STAR aligns RNA-seq reads to a reference genome using uncompressed suffix arrays |
vejnar
|
2024-03-07 23:50 (UTC) |
|
salmon
|
1.10.3-1 |
0 |
0.00
|
Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using lightweight alignments |
kbipinkumar
|
2024-03-16 00:06 (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) |
|
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-zinbwave
|
1.24.0-1 |
0 |
0.00
|
Zero-Inflated Negative Binomial Model for RNA-Seq Data |
BioArchLinuxBot
|
2023-10-27 07:49 (UTC) |
|
r-zellkonverter
|
1.12.1-1 |
0 |
0.00
|
Conversion Between scRNA-seq Objects |
BioArchLinuxBot
|
2023-11-16 00:27 (UTC) |
|
r-yarn
|
1.28.0-1 |
0 |
0.00
|
YARN: Robust Multi-Condition RNA-Seq Preprocessing and Normalization |
BioArchLinuxBot
|
2023-10-27 14:37 (UTC) |
|
r-tximportdata
|
1.30.0-3 |
0 |
0.00
|
provides the output of running various transcript abundance quantifiers on a set of 6 RNA-seq samples from the GEUVADIS project |
pekkarr
|
2023-12-15 12:03 (UTC) |
|
r-tweedeseqcountdata
|
1.40.0-1 |
0 |
0.00
|
RNA-seq count data employed in the vignette of the tweeDEseq package |
pekkarr
|
2023-11-23 15:05 (UTC) |
|
r-tweedeseq
|
1.48.0-3 |
0 |
0.00
|
RNA-seq data analysis using the Poisson-Tweedie family of distributions |
BioArchLinuxBot
|
2023-10-27 04:29 (UTC) |
|
r-treg
|
1.6.0-1 |
0 |
0.00
|
Tools for finding Total RNA Expression Genes in single nucleus RNA-seq data |
pekkarr
|
2023-12-13 15:29 (UTC) |
|
r-transcriptr
|
1.30.0-1 |
0 |
0.00
|
An Integrative Tool for ChIP- And RNA-Seq Based Primary Transcripts Detection and Quantification |
BioArchLinuxBot
|
2023-10-28 14:28 (UTC) |
|
r-tenxplore
|
1.24.0-1 |
0 |
0.00
|
ontological exploration of scRNA-seq of 1.3 million mouse neurons from 10x genomics |
pekkarr
|
2023-10-28 13:55 (UTC) |
|
r-tbsignatureprofiler
|
1.14.0-1 |
0 |
0.00
|
Profile RNA-Seq Data Using TB Pathway Signatures |
BioArchLinuxBot
|
2023-10-30 18:35 (UTC) |
|
r-tapseq
|
1.14.1-1 |
0 |
0.00
|
Targeted scRNA-seq primer design for TAP-seq |
BioArchLinuxBot
|
2023-11-09 00:02 (UTC) |
|
r-ssviz
|
1.36.0-1 |
0 |
0.00
|
A small RNA-seq visualizer and analysis toolkit |
BioArchLinuxBot
|
2023-10-26 03:23 (UTC) |
|
r-sseq
|
1.40.0-1 |
0 |
0.00
|
Shrinkage estimation of dispersion in Negative Binomial models for RNA-seq experiments with small sample size |
BioArchLinuxBot
|
2023-10-25 19:50 (UTC) |
|
r-srnadiff
|
1.22.2-1 |
0 |
0.00
|
Finding differentially expressed unannotated genomic regions from RNA-seq data |
BioArchLinuxBot
|
2024-03-12 00:11 (UTC) |
|
r-splicinggraphs
|
1.42.0-1 |
0 |
0.00
|
Create, manipulate, visualize splicing graphs, and assign RNA-seq reads to them |
BioArchLinuxBot
|
2023-10-28 12:31 (UTC) |
|
r-speckle
|
1.2.0-1 |
0 |
0.00
|
Statistical methods for analysing single cell RNA-seq data |
pekkarr
|
2023-11-14 17:41 (UTC) |
|
r-slalom
|
1.24.0-1 |
0 |
0.00
|
Factorial Latent Variable Modeling of Single-Cell RNA-Seq Data |
BioArchLinuxBot
|
2023-10-27 08:13 (UTC) |
|
r-sipsic
|
1.2.2-1 |
0 |
0.00
|
Calculate Pathway Scores for Each Cell in scRNA-Seq Data |
pekkarr
|
2024-01-26 00:05 (UTC) |
|
r-singler
|
2.4.1-1 |
0 |
0.00
|
Reference-Based Single-Cell RNA-Seq Annotation |
BioArchLinuxBot
|
2024-01-09 00:14 (UTC) |
|
r-singlecelltk
|
2.12.2-1 |
0 |
0.00
|
Comprehensive and Interactive Analysis of Single Cell RNA-Seq Data |
BioArchLinuxBot
|
2024-02-11 00:12 (UTC) |
|
r-sincell
|
1.34.0-1 |
0 |
0.00
|
R package for the statistical assessment of cell state hierarchies from single-cell RNA-seq data |
BioArchLinuxBot
|
2023-10-25 23:50 (UTC) |
|
r-sgseq
|
1.36.0-1 |
0 |
0.00
|
Splice event prediction and quantification from RNA-seq data |
BioArchLinuxBot
|
2023-10-28 12:32 (UTC) |
|
r-seqgsea
|
1.42.0-1 |
0 |
0.00
|
Gene Set Enrichment Analysis (GSEA) of RNA-Seq Data: integrating differential expression and splicing |
BioArchLinuxBot
|
2023-10-27 08:38 (UTC) |
|
r-scuttle
|
1.12.0-1 |
0 |
0.00
|
Single-Cell RNA-Seq Analysis Utilities |
BioArchLinuxBot
|
2023-10-27 07:42 (UTC) |
|
r-sctreeviz
|
1.8.0-1 |
0 |
0.00
|
R/Bioconductor package to interactively explore and visualize single cell RNA-seq datasets with hierarhical annotations |
BioArchLinuxBot
|
2023-10-31 18:59 (UTC) |
|
r-sctgif
|
1.16.0-1 |
0 |
0.00
|
Cell type annotation for unannotated single-cell RNA-Seq data |
BioArchLinuxBot
|
2023-10-31 19:02 (UTC) |
|
r-sctensor
|
2.12.0-1 |
0 |
0.00
|
Detection of cell-cell interaction from single-cell RNA-seq dataset by tensor decomposition |
BioArchLinuxBot
|
2023-11-01 13:03 (UTC) |
|
r-scshapes
|
1.8.0-1 |
0 |
0.00
|
A Statistical Framework for Modeling and Identifying Differential Distributions in Single-cell RNA-sequencing Data |
BioArchLinuxBot
|
2023-10-25 22:16 (UTC) |
|
r-scruff
|
1.20.0-1 |
0 |
0.00
|
Single Cell RNA-Seq UMI Filtering Facilitator (scruff) |
BioArchLinuxBot
|
2023-10-27 15:29 (UTC) |
|
r-scrnaseq
|
2.16.0-1 |
0 |
0.00
|
Collection of Public Single-Cell RNA-Seq Datasets |
BioArchLinuxBot
|
2023-10-27 11:58 (UTC) |
|
r-screcover
|
1.18.0-1 |
0 |
0.00
|
scRecover for imputation of single-cell RNA-seq data |
BioArchLinuxBot
|
2023-10-26 01:20 (UTC) |
|
r-screclassify
|
1.8.0-1 |
0 |
0.00
|
scReClassify: post hoc cell type classification of single-cell RNA-seq data |
BioArchLinuxBot
|
2023-10-27 08:06 (UTC) |
|
r-scran
|
1.30.2-1 |
0 |
0.00
|
Methods for Single-Cell RNA-Seq Data Analysis |
BioArchLinuxBot
|
2024-01-24 00:06 (UTC) |
|
r-scpipe
|
2.2.0-1 |
0 |
0.00
|
pipeline for single cell RNA-seq data analysis |
BioArchLinuxBot
|
2023-10-27 11:50 (UTC) |
|
r-scnorm
|
1.24.0-1 |
0 |
0.00
|
Normalization of single cell RNA-seq data |
BioArchLinuxBot
|
2023-10-27 08:09 (UTC) |
|
r-scmerge
|
1.18.0-1 |
0 |
0.00
|
scMerge: Merging multiple batches of scRNA-seq data |
BioArchLinuxBot
|
2023-10-30 19:03 (UTC) |
|
r-scmap
|
1.24.0-1 |
0 |
0.00
|
A tool for unsupervised projection of single cell RNA-seq data |
BioArchLinuxBot
|
2023-10-27 08:02 (UTC) |
|
r-scddboost
|
1.4.0-1 |
0 |
0.00
|
A compositional model to assess expression changes from single-cell rna-seq data |
pekkarr
|
2023-12-05 11:31 (UTC) |