A comprehensive R package to construct interactive and reproducible biological data analysis applications based on the R platform
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Updated
Jan 8, 2023 - R
A comprehensive R package to construct interactive and reproducible biological data analysis applications based on the R platform
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
Ensemble Learning for Harmonization and Annotation of Single Cells (ELeFHAnt) provides an easy to use R package for users to annotate clusters of single cells, harmonize labels across single cell datasets to generate a unified atlas and infer relationship among celltypes between two datasets. It uses an ensemble of three machine learning classif…
R package MiscMetabar: Miscellaneous functions for metabarcoding analysis
Algorithm to implement Fraction and Allelic Copy number Estimate from Tumor/normal Sequencing using unmatched normal sample(s) for log ratio calculations
A flexible, automation and pragmatic workflow tool to process the NGS data.
Multple methods for BSA Pipeline
Algorithm to implement Fraction and Allelic Copy number Estimate from Tumor/normal Sequencing using unmatched normal sample(s) for log ratio calculations
An R package for RNAseq differential expression analysis and visualization, in an easy and reproducible way.
A QC pipeline for SVs calls based on coverage and SNP calls
🧽 Estimate sequencing saturation for GEX, VDJ, and ADT data from the 10x Genomics platform.
R/Bioconductor package for e/iCLIP data analysis
Tumor in normal detection
process and analyze paired-end ATAC-Seq data
Source code to support the paper: "Extensive mitochondrial population structure and haplotype-specific variation in metabolic phenotypes in the Drosophila Genetic Reference Panel"
Here is my participation to the 2024 edition of the HackBio Internship (AMR in cancer track).
RNA-seq pipeline in R/Bash enables QC, alignment, read counting, and differential expression using Bioconductor; reproducible workflow on Ubuntu with Conda. 🐙
Aggregation of QC metrics and outlier nomination for multi-sample studies
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