r-seqgsea
|
1.44.0-1 |
0 |
0.00
|
Gene Set Enrichment Analysis (GSEA) of RNA-Seq Data: integrating differential expression and splicing |
BioArchLinuxBot
|
2024-05-02 23:07 (UTC) |
r-seqgate
|
1.14.0-1 |
0 |
0.00
|
Filtering of Lowly Expressed Features |
BioArchLinuxBot
|
2024-05-02 19:32 (UTC) |
r-seqcombo
|
1.26.0-1 |
0 |
0.00
|
Visualization Tool for Sequence Recombination and Reassortment |
BioArchLinuxBot
|
2024-05-01 21:30 (UTC) |
r-seqcna.annot
|
1.38.0-2 |
0 |
0.00
|
Annotation for the copy number analysis of deep sequencing cancer data with seqCNA |
BioArchLinuxBot
|
2024-03-15 14:10 (UTC) |
r-seqcna
|
1.48.0-1 |
0 |
0.00
|
Copy number analysis of high-throughput sequencing cancer data |
BioArchLinuxBot
|
2023-10-25 22:08 (UTC) |
r-seqcat
|
1.26.0-1 |
0 |
0.00
|
High Throughput Sequencing Cell Authentication Toolkit |
BioArchLinuxBot
|
2024-05-03 04:49 (UTC) |
r-seqbias
|
1.50.0-1 |
0 |
0.00
|
Estimation of per-position bias in high-throughput sequencing data |
BioArchLinuxBot
|
2023-10-26 02:57 (UTC) |
r-seqarray
|
1.44.0-1 |
0 |
0.00
|
Data management of large-scale whole-genome sequence variant calls |
BioArchLinuxBot
|
2024-05-02 00:09 (UTC) |
r-seqarchrplus
|
1.4.0-1 |
0 |
0.00
|
Downstream analyses of promoter sequence architectures and HTML report generation |
pekkarr
|
2024-05-03 04:24 (UTC) |
r-seqarchr
|
1.8.0-1 |
0 |
0.00
|
Identify Different Architectures of Sequence Elements |
pekkarr
|
2024-05-02 18:36 (UTC) |
r-seq2pathway.data
|
1.36.0-1 |
0 |
0.00
|
data set for R package seq2pathway |
BioArchLinuxBot
|
2024-05-04 00:14 (UTC) |
r-seq2pathway
|
1.36.0-1 |
0 |
0.00
|
a novel tool for functional gene-set (or termed as pathway) analysis of next-generation sequencing data |
BioArchLinuxBot
|
2024-05-02 23:16 (UTC) |
r-seq.hotspot
|
1.4.0-1 |
0 |
0.00
|
Targeted sequencing panel design based on mutation hotspots |
pekkarr
|
2024-05-02 04:48 (UTC) |
r-selex
|
1.36.0-1 |
0 |
0.00
|
Functions for analyzing SELEX-seq data |
BioArchLinuxBot
|
2024-05-02 00:28 (UTC) |
r-segmentseq
|
2.38.0-1 |
0 |
0.00
|
Methods for identifying small RNA loci from high-throughput sequencing data |
BioArchLinuxBot
|
2024-05-03 01:26 (UTC) |
r-sdams
|
1.24.0-1 |
0 |
0.00
|
Differential Abundant/Expression Analysis for Metabolomics, Proteomics and single-cell RNA sequencing Data |
BioArchLinuxBot
|
2024-05-02 19:09 (UTC) |
r-scuttle
|
1.14.0-1 |
0 |
0.00
|
Single-Cell RNA-Seq Analysis Utilities |
BioArchLinuxBot
|
2024-05-02 21:18 (UTC) |
r-sctreeviz
|
1.10.0-1 |
0 |
0.00
|
R/Bioconductor package to interactively explore and visualize single cell RNA-seq datasets with hierarhical annotations |
BioArchLinuxBot
|
2024-05-03 14:45 (UTC) |
r-scthi
|
1.16.0-1 |
0 |
0.00
|
Indentification of significantly activated ligand-receptor interactions across clusters of cells from single-cell RNA sequencing data |
BioArchLinuxBot
|
2024-05-01 19:49 (UTC) |
r-sctgif
|
1.18.0-1 |
0 |
0.00
|
Cell type annotation for unannotated single-cell RNA-Seq data |
BioArchLinuxBot
|
2024-05-03 12:53 (UTC) |
r-sctensor
|
2.14.0-1 |
0 |
0.00
|
Detection of cell-cell interaction from single-cell RNA-seq dataset by tensor decomposition |
BioArchLinuxBot
|
2024-05-03 14:38 (UTC) |
r-scshapes
|
1.10.0-1 |
0 |
0.00
|
A Statistical Framework for Modeling and Identifying Differential Distributions in Single-cell RNA-sequencing Data |
BioArchLinuxBot
|
2024-05-01 19:50 (UTC) |
r-scruff
|
1.22.0-1 |
0 |
0.00
|
Single Cell RNA-Seq UMI Filtering Facilitator (scruff) |
BioArchLinuxBot
|
2024-05-03 13:32 (UTC) |
r-scrnaseqapp
|
1.2.2-3 |
0 |
0.00
|
A single-cell RNAseq Shiny app-package |
pekkarr
|
2024-04-27 22:08 (UTC) |
r-scrnaseq
|
2.18.0-1 |
0 |
0.00
|
Collection of Public Single-Cell RNA-Seq Datasets |
BioArchLinuxBot
|
2024-05-04 18:38 (UTC) |
r-screencounter
|
1.4.0-1 |
0 |
0.00
|
Counting Reads in High-Throughput Sequencing Screens |
pekkarr
|
2024-05-02 20:05 (UTC) |
r-screcover
|
1.20.0-1 |
0 |
0.00
|
scRecover for imputation of single-cell RNA-seq data |
BioArchLinuxBot
|
2024-05-01 23:51 (UTC) |
r-screclassify
|
1.10.0-1 |
0 |
0.00
|
scReClassify: post hoc cell type classification of single-cell RNA-seq data |
BioArchLinuxBot
|
2024-05-02 21:28 (UTC) |
r-scran
|
1.32.0-1 |
0 |
0.00
|
Methods for Single-Cell RNA-Seq Data Analysis |
BioArchLinuxBot
|
2024-05-03 00:05 (UTC) |
r-scpipe
|
2.4.0-1 |
0 |
0.00
|
pipeline for single cell RNA-seq data analysis |
BioArchLinuxBot
|
2024-05-03 01:58 (UTC) |
r-scope
|
1.16.0-1 |
0 |
0.00
|
A normalization and copy number estimation method for single-cell DNA sequencing |
BioArchLinuxBot
|
2024-05-03 03:23 (UTC) |
r-scnorm
|
1.26.0-1 |
0 |
0.00
|
Normalization of single cell RNA-seq data |
BioArchLinuxBot
|
2024-05-02 21:36 (UTC) |
r-scmerge
|
1.20.0-1 |
0 |
0.00
|
scMerge: Merging multiple batches of scRNA-seq data |
BioArchLinuxBot
|
2024-05-03 04:01 (UTC) |
r-scmap
|
1.26.0-1 |
0 |
0.00
|
A tool for unsupervised projection of single cell RNA-seq data |
BioArchLinuxBot
|
2024-05-02 21:29 (UTC) |
r-scifer
|
1.6.0-1 |
0 |
0.00
|
Single-Cell Immunoglobulin Filtering of Sanger Sequences |
pekkarr
|
2024-05-03 18:30 (UTC) |
r-scfeaturefilter
|
1.24.0-1 |
0 |
0.00
|
A correlation-based method for quality filtering of single-cell RNAseq data |
BioArchLinuxBot
|
2024-05-01 20:26 (UTC) |
r-scds
|
1.20.0-1 |
0 |
0.00
|
In-Silico Annotation of Doublets for Single Cell RNA Sequencing Data |
BioArchLinuxBot
|
2024-05-02 21:36 (UTC) |
r-scddboost
|
1.6.0-1 |
0 |
0.00
|
A compositional model to assess expression changes from single-cell rna-seq data |
pekkarr
|
2024-05-02 21:56 (UTC) |
r-scdd
|
1.28.0-1 |
0 |
0.00
|
Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions |
BioArchLinuxBot
|
2024-05-03 01:34 (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-sccb2
|
1.14.0-1 |
0 |
0.00
|
CB2 improves power of cell detection in droplet-based single-cell RNA sequencing data |
BioArchLinuxBot
|
2024-05-03 01:56 (UTC) |
r-scbubbletree
|
1.6.0-1 |
0 |
0.00
|
Quantitative visual exploration of scRNA-seq data |
pekkarr
|
2024-05-02 05:55 (UTC) |
r-scbn
|
1.22.0-1 |
0 |
0.00
|
A statistical normalization method and differential expression analysis for RNA-seq data between different species |
BioArchLinuxBot
|
2024-05-02 03:14 (UTC) |
r-scbfa
|
1.18.0-1 |
0 |
0.00
|
A dimensionality reduction tool using gene detection pattern to mitigate noisy expression profile of scRNA-seq |
BioArchLinuxBot
|
2024-05-03 13:39 (UTC) |
r-scatedata
|
1.12.0-1 |
0 |
0.00
|
Data for SCATE (Single-cell ATAC-seq Signal Extraction and Enhancement) |
BioArchLinuxBot
|
2024-04-13 18:13 (UTC) |
r-scate
|
1.12.0-1 |
0 |
0.00
|
Single-cell ATAC-seq Signal Extraction and Enhancement |
BioArchLinuxBot
|
2024-04-13 18:21 (UTC) |
r-scarray.sat
|
1.4.0-1 |
0 |
0.00
|
Large-scale single-cell RNA-seq data analysis using GDS files and Seurat |
pekkarr
|
2024-05-03 00:09 (UTC) |
r-scarray
|
1.12.0-1 |
0 |
0.00
|
Large-scale single-cell RNA-seq data manipulation with GDS files |
BioArchLinuxBot
|
2024-05-02 21:20 (UTC) |
r-scannotatr
|
1.10.0-1 |
0 |
0.00
|
Pretrained learning models for cell type prediction on single cell RNA-sequencing data |
BioArchLinuxBot
|
2024-05-02 23:57 (UTC) |
r-scale4c
|
1.26.0-1 |
0 |
0.00
|
Scale4C: an R/Bioconductor package for scale-space transformation of 4C-seq data |
BioArchLinuxBot
|
2024-05-02 19:24 (UTC) |