R package for analyzing single-cell RNA-seq data
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Updated
Feb 29, 2024 - R
R package for analyzing single-cell RNA-seq data
Multi-sample somatic variant caller
A Snakemake workflow and MrBiomics module to split, filter, normalize, integrate and select highly variable features of count matrices resulting from next-generation sequencing (NGS) experiments (e.g., RNA-seq, ATAC-seq, ChIP-seq, Methyl-seq, miRNA-seq,...) including confounding factor analysis and diagnostic visualizations.
R package to work with ctDNA sequencing data
Computational Suite for Bioinformaticians and Biologists (CSBB) is a RShiny application developed with an intention to empower researchers from wet and dry lab to perform downstream Bioinformatics analysis
This RNAseq data analysis tutorial is created for educational purpose
An R package to process and analyze transcriptomic data
Repository for RecallME-v.0.1 a variant calling pipelines benchmarker and optimizer
Algorithm to implement Fraction and Allelic Copy number Estimate from Tumor/normal Sequencing using unmatched normal sample(s) for log ratio calculations
Conta is an R package to detect cross contamination and source of contamination
A flexible, automation and pragmatic workflow tool to process the NGS data.
Population Genomics Pipeline used for SNPs data from VCF files.
CNV detection for prokaryote genomes using NGS sequencing data
Algorithm to implement Fraction and Allelic Copy number Estimate from Tumor/normal Sequencing using unmatched normal sample(s) for log ratio calculations
SCORE - a consensus tool for detecting differentially expressed genes in bacteria
Framework to benchmark germline copy-number variant detection tools from NGS data
A QC pipeline for SVs calls based on coverage and SNP calls
AluScanCNV2 is an R package that integrates the cross-platform CNV detection and tumor prediction function on the basis of AluScanCNV software developed in the early stage.
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