|
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-seqgate
|
1.12.0-1 |
0 |
0.00
|
Filtering of Lowly Expressed Features |
BioArchLinuxBot
|
2023-10-27 06:43 (UTC) |
|
r-seqcombo
|
1.24.0-1 |
0 |
0.00
|
Visualization Tool for Sequence Recombination and Reassortment |
BioArchLinuxBot
|
2023-10-25 23:59 (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
|
1.24.0-1 |
0 |
0.00
|
High Throughput Sequencing Cell Authentication Toolkit |
BioArchLinuxBot
|
2023-10-27 12:42 (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
|
1.42.4-1 |
0 |
0.00
|
Data management of large-scale whole-genome sequence variant calls |
BioArchLinuxBot
|
2024-04-06 00:25 (UTC) |
|
r-seqarchrplus
|
1.2.0-1 |
0 |
0.00
|
Downstream analyses of promoter sequence architectures and HTML report generation |
pekkarr
|
2023-11-14 11:34 (UTC) |
|
r-seqarchr
|
1.6.0-3 |
0 |
0.00
|
Identify Different Architectures of Sequence Elements |
pekkarr
|
2024-04-26 14:31 (UTC) |
|
r-seq2pathway.data
|
1.34.0-2 |
0 |
0.00
|
data set for R package seq2pathway |
BioArchLinuxBot
|
2024-03-15 14:22 (UTC) |
|
r-seq2pathway
|
1.34.0-1 |
0 |
0.00
|
a novel tool for functional gene-set (or termed as pathway) analysis of next-generation sequencing data |
BioArchLinuxBot
|
2023-10-26 04:56 (UTC) |
|
r-seq.hotspot
|
1.2.0-3 |
0 |
0.00
|
Targeted sequencing panel design based on mutation hotspots |
pekkarr
|
2024-04-25 07:59 (UTC) |
|
r-selex
|
1.34.0-1 |
0 |
0.00
|
Functions for analyzing SELEX-seq data |
BioArchLinuxBot
|
2023-10-26 02:49 (UTC) |
|
r-segmentseq
|
2.36.0-1 |
0 |
0.00
|
Methods for identifying small RNA loci from high-throughput sequencing data |
BioArchLinuxBot
|
2023-10-27 09:40 (UTC) |
|
r-sdams
|
1.22.0-1 |
0 |
0.00
|
Differential Abundant/Expression Analysis for Metabolomics, Proteomics and single-cell RNA sequencing Data |
BioArchLinuxBot
|
2023-10-27 06:22 (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-scthi
|
1.14.0-1 |
0 |
0.00
|
Indentification of significantly activated ligand-receptor interactions across clusters of cells from single-cell RNA sequencing data |
BioArchLinuxBot
|
2023-10-25 22:17 (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-scrnaseqapp
|
1.2.2-1 |
0 |
0.00
|
A single-cell RNAseq Shiny app-package |
pekkarr
|
2023-11-11 23:47 (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-screencounter
|
1.2.0-1 |
0 |
0.00
|
Counting Reads in High-Throughput Sequencing Screens |
pekkarr
|
2023-11-10 13:04 (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-scope
|
1.14.0-1 |
0 |
0.00
|
A normalization and copy number estimation method for single-cell DNA sequencing |
BioArchLinuxBot
|
2023-10-27 11:31 (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-scifer
|
1.4.0-4 |
0 |
0.00
|
Single-Cell Immunoglobulin Filtering of Sanger Sequences |
pekkarr
|
2024-04-26 14:57 (UTC) |
|
r-scfeaturefilter
|
1.22.0-1 |
0 |
0.00
|
A correlation-based method for quality filtering of single-cell RNAseq data |
BioArchLinuxBot
|
2023-10-25 20:56 (UTC) |
|
r-scds
|
1.18.0-1 |
0 |
0.00
|
In-Silico Annotation of Doublets for Single Cell RNA Sequencing Data |
BioArchLinuxBot
|
2023-10-27 08:03 (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) |
|
r-scdd
|
1.26.0-1 |
0 |
0.00
|
Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions |
BioArchLinuxBot
|
2023-10-30 18:49 (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
|
1.12.0-1 |
0 |
0.00
|
CB2 improves power of cell detection in droplet-based single-cell RNA sequencing data |
BioArchLinuxBot
|
2023-10-31 18:50 (UTC) |
|
r-scbubbletree
|
1.4.0-3 |
0 |
0.00
|
Quantitative visual exploration of scRNA-seq data |
pekkarr
|
2024-04-26 01:09 (UTC) |
|
r-scbn
|
1.20.0-2 |
0 |
0.00
|
A statistical normalization method and differential expression analysis for RNA-seq data between different species |
BioArchLinuxBot
|
2024-03-16 18:06 (UTC) |
|
r-scbfa
|
1.16.0-1 |
0 |
0.00
|
A dimensionality reduction tool using gene detection pattern to mitigate noisy expression profile of scRNA-seq |
BioArchLinuxBot
|
2023-10-31 18:57 (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
|
1.2.1-1 |
0 |
0.00
|
Large-scale single-cell RNA-seq data analysis using GDS files and Seurat |
pekkarr
|
2024-04-12 17:48 (UTC) |
|
r-scarray
|
1.10.0-1 |
0 |
0.00
|
Large-scale single-cell RNA-seq data manipulation with GDS files |
BioArchLinuxBot
|
2023-10-30 18:22 (UTC) |
|
r-scannotatr
|
1.8.0-1 |
0 |
0.00
|
Pretrained learning models for cell type prediction on single cell RNA-sequencing data |
BioArchLinuxBot
|
2023-10-31 18:49 (UTC) |
|
r-scale4c
|
1.24.0-1 |
0 |
0.00
|
Scale4C: an R/Bioconductor package for scale-space transformation of 4C-seq data |
BioArchLinuxBot
|
2023-10-27 06:51 (UTC) |