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-basics
|
2.16.0-1 |
0 |
0.00
|
Bayesian Analysis of Single-Cell Sequencing data |
BioArchLinuxBot
|
2024-05-03 01:33 (UTC) |
r-chipsim
|
1.58.0-1 |
0 |
0.00
|
Simulation of ChIP-seq experiments |
BioArchLinuxBot
|
2024-05-03 01:28 (UTC) |
r-chipseqr
|
1.58.0-1 |
0 |
0.00
|
Identifying Protein Binding Sites in High-Throughput Sequencing Data |
BioArchLinuxBot
|
2024-05-03 01:27 (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-chipseq
|
1.54.0-1 |
0 |
0.00
|
chipseq: A package for analyzing chipseq data |
BioArchLinuxBot
|
2024-05-03 01:22 (UTC) |
r-rifi
|
1.8.0-1 |
0 |
0.00
|
'rifi' analyses data from rifampicin time series created by microarray or RNAseq |
pekkarr
|
2024-05-03 01:18 (UTC) |
r-genextender
|
1.30.0-1 |
0 |
0.00
|
Optimized Functional Annotation Of ChIP-seq Data |
BioArchLinuxBot
|
2024-05-03 01:16 (UTC) |
r-sevenc
|
1.24.0-1 |
0 |
0.00
|
Computational Chromosome Conformation Capture by Correlation of ChIP-seq at CTCF motifs |
BioArchLinuxBot
|
2024-05-03 01:14 (UTC) |
r-seqsetvis
|
1.24.0-1 |
0 |
0.00
|
Set Based Visualizations for Next-Gen Sequencing Data |
BioArchLinuxBot
|
2024-05-03 01:06 (UTC) |
r-r3cseq
|
1.50.0-1 |
0 |
0.00
|
Analysis of Chromosome Conformation Capture and Next-generation Sequencing (3C-seq) |
BioArchLinuxBot
|
2024-05-03 01:05 (UTC) |
r-normr
|
1.30.0-1 |
0 |
0.00
|
Normalization and difference calling in ChIP-seq data |
BioArchLinuxBot
|
2024-05-03 01:03 (UTC) |
r-pram
|
1.20.0-1 |
0 |
0.00
|
Pooling RNA-seq datasets for assembling transcript models |
BioArchLinuxBot
|
2024-05-03 01:01 (UTC) |
r-excluster
|
1.22.0-1 |
0 |
0.00
|
ExCluster robustly detects differentially expressed exons between two conditions of RNA-seq data, requiring at least two independent biological replicates per condition |
BioArchLinuxBot
|
2024-05-03 00:59 (UTC) |
r-motifdb
|
1.46.0-1 |
0 |
0.00
|
An Annotated Collection of Protein-DNA Binding Sequence Motifs |
BioArchLinuxBot
|
2024-05-03 00:58 (UTC) |
r-methylkit
|
1.30.0-1 |
0 |
0.00
|
DNA methylation analysis from high-throughput bisulfite sequencing results |
BioArchLinuxBot
|
2024-05-03 00:57 (UTC) |
r-grohmm
|
1.38.0-1 |
0 |
0.00
|
GRO-seq Analysis Pipeline |
BioArchLinuxBot
|
2024-05-03 00:56 (UTC) |
r-roar
|
1.40.0-1 |
0 |
0.00
|
Identify differential APA usage from RNA-seq alignments |
BioArchLinuxBot
|
2024-05-03 00:55 (UTC) |
r-coseq
|
1.28.0-1 |
0 |
0.00
|
Co-Expression Analysis of Sequencing Data |
BioArchLinuxBot
|
2024-05-03 00:16 (UTC) |
r-celaref
|
1.22.0-1 |
0 |
0.00
|
Single-cell RNAseq cell cluster labelling by reference |
BioArchLinuxBot
|
2024-05-03 00:15 (UTC) |
r-powsc
|
1.12.0-1 |
0 |
0.00
|
Simulation, power evaluation, and sample size recommendation for single cell RNA-seq |
BioArchLinuxBot
|
2024-05-03 00:15 (UTC) |
r-slingshot
|
2.12.0-1 |
0 |
0.00
|
Tools for ordering single-cell sequencing |
BioArchLinuxBot
|
2024-05-03 00:14 (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-scran
|
1.32.0-1 |
0 |
0.00
|
Methods for Single-Cell RNA-Seq Data Analysis |
BioArchLinuxBot
|
2024-05-03 00:05 (UTC) |
r-partcnv
|
1.2.0-1 |
0 |
0.00
|
Infer locally aneuploid cells using single cell RNA-seq data |
pekkarr
|
2024-05-03 00:04 (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-infercnv
|
1.20.0-1 |
0 |
0.00
|
Infer Copy Number Variation from Single-Cell RNA-Seq Data |
BioArchLinuxBot
|
2024-05-02 23:54 (UTC) |
r-single
|
1.7.0-1 |
0 |
0.00
|
Accurate consensus sequence from nanopore reads of a gene library |
pekkarr
|
2024-05-02 23:50 (UTC) |
r-prebs
|
1.44.0-1 |
0 |
0.00
|
Probe region expression estimation for RNA-seq data for improved microarray comparability |
BioArchLinuxBot
|
2024-05-02 23:49 (UTC) |
r-mosaics
|
2.42.0-1 |
0 |
0.00
|
MOSAiCS (MOdel-based one and two Sample Analysis and Inference for ChIP-Seq) |
BioArchLinuxBot
|
2024-05-02 23:44 (UTC) |
r-breakpointr
|
1.22.0-1 |
0 |
0.00
|
Find breakpoints in Strand-seq data |
BioArchLinuxBot
|
2024-05-02 23:42 (UTC) |
r-chromstar
|
1.30.0-1 |
0 |
0.00
|
Combinatorial and Differential Chromatin State Analysis for ChIP-Seq Data |
BioArchLinuxBot
|
2024-05-02 23:41 (UTC) |
r-mdts
|
1.24.0-1 |
0 |
0.00
|
Detection of de novo deletion in targeted sequencing trios |
BioArchLinuxBot
|
2024-05-02 23:41 (UTC) |
r-aneufinder
|
1.32.0-1 |
0 |
0.00
|
Analysis of Copy Number Variation in Single-Cell-Sequencing Data |
BioArchLinuxBot
|
2024-05-02 23:40 (UTC) |
r-basicstarrseq
|
1.32.0-1 |
0 |
0.00
|
Basic peak calling on STARR-seq data |
BioArchLinuxBot
|
2024-05-02 23:39 (UTC) |
r-pics
|
2.48.0-1 |
0 |
0.00
|
Probabilistic inference of ChIP-seq |
BioArchLinuxBot
|
2024-05-02 23:38 (UTC) |
r-moanin
|
1.12.0-1 |
0 |
0.00
|
An R Package for Time Course RNASeq Data Analysis |
BioArchLinuxBot
|
2024-05-02 23:29 (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-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-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-goexpress
|
1.38.0-1 |
0 |
0.00
|
Visualise microarray and RNAseq data using gene ontology annotations |
BioArchLinuxBot
|
2024-05-02 23:05 (UTC) |
r-erssa
|
1.22.0-1 |
0 |
0.00
|
Empirical RNA-seq Sample Size Analysis |
BioArchLinuxBot
|
2024-05-02 22:21 (UTC) |
r-vidger
|
1.24.0-1 |
0 |
0.00
|
Create rapid visualizations of RNAseq data in R |
BioArchLinuxBot
|
2024-05-02 22:14 (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-anaquin
|
2.28.0-1 |
0 |
0.00
|
Statistical analysis of sequins |
BioArchLinuxBot
|
2024-05-02 22:11 (UTC) |
r-htsfilter
|
1.44.0-1 |
0 |
0.00
|
Filter replicated high-throughput transcriptome sequencing data |
BioArchLinuxBot
|
2024-05-02 22:09 (UTC) |
r-dewseq
|
1.18.0-1 |
0 |
0.00
|
Differential Expressed Windows Based on Negative Binomial Distribution |
BioArchLinuxBot
|
2024-05-02 22:08 (UTC) |
r-anota2seq
|
1.26.0-1 |
0 |
0.00
|
Generally applicable transcriptome-wide analysis of translational efficiency using anota2seq |
BioArchLinuxBot
|
2024-05-02 22:07 (UTC) |
r-mlseq
|
2.22.0-1 |
0 |
0.00
|
Machine Learning Interface for RNA-Seq Data |
BioArchLinuxBot
|
2024-05-02 22:06 (UTC) |
r-iloreg
|
1.14.0-1 |
0 |
0.00
|
a tool for high-resolution cell population identification from scRNA-Seq data |
BioArchLinuxBot
|
2024-05-02 22:03 (UTC) |