SPP - R package for analysis of ChIP-seq and other functional sequencing data
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Updated
Jan 25, 2018 - C++
SPP - R package for analysis of ChIP-seq and other functional sequencing data
Repozitorijoje saugomi failai, implementuojantys R Shiny aplikaciją ir leidžiantys vertinti įkeltų genominių duomenų kokybę bei vykdyti biologines analizes.
Peak Calling algorithm for Chromatin-immunoprecipitation sequencing (ChIP-seq) data
R package for mining, calling, and importing epigenomic peaks.
Reproducible and scalable technical pipelines for ChIP-Seq and RNA-Seq processing
A small script to find peaks from the .bigWig file and output them in a .bed file.
Comprehensive analysis pipeline for ATAC-seq data including QC, alignment, peak calling, annotation, motif analysis, and gene enrichment. Delivers key insights and reproducible results for chromatin accessibility studies.
Peak classification with Deep Learning
An awesome set of epigenetic pipelines for bulk cfChip-seq, ChIP-seq, and ATAC-seq
cell-free ChIP-seq pipeline
ChIP-Seq processing pipeline on snakemake
🥇 Maximum homogeneity clustering for one-dimensional data
Benchmarking ChIP-seq peak callers
CUT&RUN-Flow, A Nextflow pipeline for QC, tag trimming, normalization, and peak calling for data from CUT&RUN experiments.
Multiple-replica multiple-condition Macs2 ChIPSeq wrapper
The ChIP-Seq peak calling algorithm using convolution neural networks
CLIP sequencing analysis pipeline for QC, pre-mapping, genome mapping, UMI deduplication, and multiple peak-calling options.
ChIP-seq peak-calling, QC and differential analysis pipeline.
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