|
sniffles
|
1.0.12-1 |
0 |
0.00
|
Structural variation caller using third generation sequencing |
orphan
|
2021-12-13 23:16 (UTC) |
|
samtools-git
|
1.17.r8.gc75edb00-1 |
0 |
0.00
|
Tools for manipulating next-generation sequencing data |
Chocobo1
|
2023-04-13 08:33 (UTC) |
|
samtools
|
1.20-1 |
30 |
0.00
|
tools for manipulating next-generation sequencing data |
r6eve
|
2024-04-15 22:56 (UTC) |
|
rnalysis
|
3.11-1 |
0 |
0.00
|
Python-based software for analyzing RNA sequencing data. https://doi.org/10.1101/2022.11.25.517851 |
kbipinkumar
|
2024-01-05 18:04 (UTC) |
|
readknead
|
0.1.2-1 |
1 |
0.00
|
Knead your sequencing reads before baking: clips, demultiplexes, filters and trims reads |
vejnar
|
2022-11-22 20:53 (UTC) |
|
r-tress
|
1.8.0-1 |
0 |
0.00
|
Toolbox for mRNA epigenetics sequencing analysis |
BioArchLinuxBot
|
2023-10-27 10:24 (UTC) |
|
r-tradeseq
|
1.16.0-1 |
0 |
0.00
|
trajectory-based differential expression analysis for sequencing data |
BioArchLinuxBot
|
2023-10-28 14:17 (UTC) |
|
r-titancna
|
1.40.0-1 |
0 |
0.00
|
Subclonal copy number and LOH prediction from whole genome sequencing of tumours |
BioArchLinuxBot
|
2023-10-27 12:41 (UTC) |
|
r-tcseq
|
1.26.0-1 |
0 |
0.00
|
Time course sequencing data analysis |
BioArchLinuxBot
|
2023-10-27 07:33 (UTC) |
|
r-subseq
|
1.32.0-1 |
0 |
0.00
|
Subsampling of high-throughput sequencing count data |
BioArchLinuxBot
|
2023-10-25 23:19 (UTC) |
|
r-spsimseq
|
1.12.0-1 |
0 |
0.00
|
Semi-parametric simulation tool for bulk and single-cell RNA sequencing data |
BioArchLinuxBot
|
2023-10-28 14:51 (UTC) |
|
r-splatter
|
1.26.0-1 |
0 |
0.00
|
Simple Simulation of Single-cell RNA Sequencing Data |
BioArchLinuxBot
|
2023-10-27 09:52 (UTC) |
|
r-somnibus
|
1.10.0-1 |
0 |
0.00
|
Smooth modeling of bisulfite sequencing |
BioArchLinuxBot
|
2023-11-03 12:05 (UTC) |
|
r-slingshot
|
2.10.0-1 |
0 |
0.00
|
Tools for ordering single-cell sequencing |
BioArchLinuxBot
|
2023-10-28 13:51 (UTC) |
|
r-seqsqc
|
1.24.1-1 |
0 |
0.00
|
A bioconductor package for sample quality check with next generation sequencing data |
BioArchLinuxBot
|
2024-04-18 18:01 (UTC) |
|
r-seqsetvis
|
1.22.1-1 |
0 |
0.00
|
Set Based Visualizations for Next-Gen Sequencing Data |
BioArchLinuxBot
|
2024-03-12 00:04 (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-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
|
1.2.0-1 |
0 |
0.00
|
Targeted sequencing panel design based on mutation hotspots |
pekkarr
|
2023-11-13 11:44 (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-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-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-screencounter
|
1.2.0-1 |
0 |
0.00
|
Counting Reads in High-Throughput Sequencing Screens |
pekkarr
|
2023-11-10 13:04 (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-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-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-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-saturn
|
1.10.0-1 |
0 |
0.00
|
Scalable Analysis of Differential Transcript Usage for Bulk and Single-Cell RNA-sequencing Applications |
BioArchLinuxBot
|
2023-10-27 05:58 (UTC) |
|
r-sangerseqr
|
1.38.0-1 |
0 |
0.00
|
Tools for Sanger Sequencing Data in R |
BioArchLinuxBot
|
2023-10-26 02:55 (UTC) |
|
r-rsubread
|
2.16.1-2 |
0 |
0.00
|
Mapping, quantification and variant analysis of sequencing data |
BioArchLinuxBot
|
2024-04-24 20:12 (UTC) |
|
r-rqc
|
1.36.0-1 |
0 |
0.00
|
Quality Control Tool for High-Throughput Sequencing Data |
BioArchLinuxBot
|
2023-10-27 14:14 (UTC) |
|
r-rnaseqcovarimpute
|
1.0.2-1 |
0 |
0.00
|
Impute Covariate Data in RNA Sequencing Studies |
pekkarr
|
2023-11-28 13:31 (UTC) |
|
r-rnamodr
|
1.16.0-1 |
0 |
0.00
|
Detection of post-transcriptional modifications in high throughput sequencing data |
BioArchLinuxBot
|
2023-11-02 12:10 (UTC) |
|
r-riboseqr
|
1.36.0-1 |
0 |
0.00
|
Analysis of sequencing data from ribosome profiling experiments |
BioArchLinuxBot
|
2023-10-26 07:25 (UTC) |
|
r-rhtslib
|
2.4.1-1 |
0 |
0.00
|
HTSlib high-throughput sequencing library as an R package |
greyltc
|
2024-04-08 14:35 (UTC) |
|
r-redseq
|
1.48.0-1 |
0 |
0.00
|
Analysis of high-throughput sequencing data processed by restriction enzyme digestion |
BioArchLinuxBot
|
2023-10-27 14:23 (UTC) |
|
r-rcsl
|
1.10.1-1 |
0 |
0.00
|
Rank Constrained Similarity Learning for single cell RNA sequencing data |
BioArchLinuxBot
|
2024-04-06 12:01 (UTC) |
|
r-rbec
|
1.10.0-1 |
0 |
0.00
|
Rbec: a tool for analysis of amplicon sequencing data from synthetic microbial communities |
BioArchLinuxBot
|
2023-10-27 11:48 (UTC) |
|
r-rarevariantvis
|
2.30.0-1 |
0 |
0.00
|
A suite for analysis of rare genomic variants in whole genome sequencing data |
BioArchLinuxBot
|
2023-10-27 12:53 (UTC) |
|
r-r3cseq
|
1.48.0-1 |
0 |
0.00
|
Analysis of Chromosome Conformation Capture and Next-generation Sequencing (3C-seq) |
BioArchLinuxBot
|
2023-10-27 09:09 (UTC) |
|
r-qdnaseq
|
1.38.0-1 |
0 |
0.00
|
Quantitative DNA Sequencing for Chromosomal Aberrations |
BioArchLinuxBot
|
2023-10-26 07:52 (UTC) |
|
r-purecn
|
2.8.1-1 |
0 |
0.00
|
Copy number calling and SNV classification using targeted short read sequencing |
BioArchLinuxBot
|
2023-11-23 00:11 (UTC) |
|
r-ppcseq
|
1.10.0-5 |
0 |
0.00
|
Probabilistic Outlier Identification for RNA Sequencing Generalized Linear Models |
BioArchLinuxBot
|
2024-02-08 12:42 (UTC) |
|
r-poiclaclu
|
1.0.2.1-10 |
0 |
0.00
|
Classification and Clustering of Sequencing Data Based on a Poisson Model |
BioArchLinuxBot
|
2024-04-24 20:41 (UTC) |
|
r-nbpseq
|
0.3.1-1 |
0 |
0.00
|
Negative Binomial Models for RNA-Sequencing Data |
BioArchLinuxBot
|
2022-06-09 13:04 (UTC) |