trinityrnaseq-doc
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2.15.1-1 |
0 |
0.00
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Transcriptome assembler for RNA-seq reads https://doi.org/10.1038%2Fnbt.1883 |
malacology
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2024-02-15 19:27 (UTC) |
trinityrnaseq
|
2.15.1-1 |
0 |
0.00
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Transcriptome assembler for RNA-seq reads https://doi.org/10.1038%2Fnbt.1883 |
malacology
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2024-02-15 19:27 (UTC) |
trinityrnaseq-extra
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2.15.1-1 |
0 |
0.00
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Transcriptome assembler for RNA-seq reads https://doi.org/10.1038%2Fnbt.1883 |
malacology
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2024-02-15 19:27 (UTC) |
r-vidger
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1.22.0-1 |
0 |
0.00
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Create rapid visualizations of RNAseq data in R |
BioArchLinuxBot
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2023-10-27 08:29 (UTC) |
r-transview
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1.46.0-1 |
0 |
0.00
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Read density map construction and accession. Visualization of ChIPSeq and RNASeq data sets |
BioArchLinuxBot
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2023-10-26 02:29 (UTC) |
r-singlecellsignalr
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1.14.0-1 |
0 |
0.00
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Cell Signalling Using Single Cell RNAseq Data Analysis |
BioArchLinuxBot
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2023-10-30 18:47 (UTC) |
r-scrnaseqapp
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1.2.2-1 |
0 |
0.00
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A single-cell RNAseq Shiny app-package |
pekkarr
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2023-11-11 23:47 (UTC) |
r-scrnaseq
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2.16.0-1 |
0 |
0.00
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Collection of Public Single-Cell RNA-Seq Datasets |
BioArchLinuxBot
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2023-10-27 11:58 (UTC) |
r-scfeaturefilter
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1.22.0-1 |
0 |
0.00
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A correlation-based method for quality filtering of single-cell RNAseq data |
BioArchLinuxBot
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2023-10-25 20:56 (UTC) |
r-rnaseqsamplesizedata
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1.34.0-1 |
0 |
0.00
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RnaSeqSampleSizeData |
BioArchLinuxBot
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2023-10-27 04:29 (UTC) |
r-rnaseqsamplesize
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2.12.0-1 |
0 |
0.00
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RnaSeqSampleSize |
BioArchLinuxBot
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2023-10-27 15:44 (UTC) |
r-rnaseqr
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1.16.0-4 |
0 |
0.00
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RNASeqR: an R package for automated two-group RNA-Seq analysis workflow |
BioArchLinuxBot
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2023-04-29 08:38 (UTC) |
r-rnaseqpower
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1.42.0-2 |
0 |
0.00
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Sample size for RNAseq studies |
BioArchLinuxBot
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2024-04-24 22:38 (UTC) |
r-rnaseqcovarimpute
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1.0.2-3 |
0 |
0.00
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Impute Covariate Data in RNA Sequencing Studies |
pekkarr
|
2024-04-25 19:32 (UTC) |
r-rnaseqcomp
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1.32.0-2 |
0 |
0.00
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Benchmarks for RNA-seq Quantification Pipelines |
BioArchLinuxBot
|
2024-04-07 12:03 (UTC) |
r-rifi
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1.6.0-1 |
0 |
0.00
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'rifi' analyses data from rifampicin time series created by microarray or RNAseq |
pekkarr
|
2023-12-12 20:24 (UTC) |
r-proper
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1.34.0-1 |
0 |
0.00
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PROspective Power Evaluation for RNAseq |
BioArchLinuxBot
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2023-10-26 06:49 (UTC) |
r-netsmooth
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1.22.0-1 |
0 |
0.00
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Network smoothing for scRNAseq |
BioArchLinuxBot
|
2023-10-30 19:04 (UTC) |
r-moanin
|
1.10.0-1 |
0 |
0.00
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An R Package for Time Course RNASeq Data Analysis |
BioArchLinuxBot
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2023-10-27 07:08 (UTC) |
r-mirtarrnaseq
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1.10.0-1 |
0 |
0.00
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mirTarRnaSeq |
BioArchLinuxBot
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2023-10-25 20:57 (UTC) |
r-m3drop
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1.28.8-1 |
0 |
0.00
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Michaelis-Menten Modelling of Dropouts in single-cell RNASeq |
BioArchLinuxBot
|
2024-04-06 12:02 (UTC) |
r-goexpress
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1.36.0-1 |
0 |
0.00
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Visualise microarray and RNAseq data using gene ontology annotations |
BioArchLinuxBot
|
2023-10-26 04:44 (UTC) |
r-gdnainrnaseqdata
|
1.2.0-1 |
0 |
0.00
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RNA-seq data with different levels of gDNA contamination |
pekkarr
|
2023-11-23 19:49 (UTC) |
r-easyrnaseq
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2.38.0-1 |
0 |
0.00
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Count summarization and normalization for RNA-Seq data |
BioArchLinuxBot
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2023-10-27 09:50 (UTC) |
r-demuxsnp
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1.0.0-1 |
0 |
0.00
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scRNAseq demultiplexing using cell hashing and SNPs |
pekkarr
|
2023-11-23 12:28 (UTC) |
r-demixt
|
1.18.0-1 |
0 |
0.00
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Cell type-specific deconvolution of heterogeneous tumor samples with two or three components using expression data from RNAseq or microarray platforms |
BioArchLinuxBot
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2024-01-13 00:06 (UTC) |
r-deconrnaseq
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1.44.0-1 |
0 |
0.00
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Deconvolution of Heterogeneous Tissue Samples for mRNA-Seq data |
BioArchLinuxBot
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2023-10-26 00:45 (UTC) |
r-compcoder
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1.38.0-2 |
0 |
0.00
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RNAseq data simulation, differential expression analysis and performance comparison of differential expression methods |
BioArchLinuxBot
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2024-04-26 18:05 (UTC) |
r-cellarepertorium
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1.12.0-1 |
0 |
0.00
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Data structures, clustering and testing for single cell immune receptor repertoires (scRNAseq RepSeq/AIRR-seq) |
BioArchLinuxBot
|
2023-10-26 02:47 (UTC) |
r-celaref
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1.20.0-1 |
0 |
0.00
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Single-cell RNAseq cell cluster labelling by reference |
BioArchLinuxBot
|
2023-10-27 09:57 (UTC) |