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Differential interactions analysis | Hi-C analysis

Chromatin conformation capture with high-throughput sequencing (Hi-C) is a technique that measures the in vivo intensity of interactions between all pairs of loci in the genome. Most conventional analyses of Hi-C data focus on the detection of…
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HOMER
Desktop

HOMER Hypergeometric Optimization of Motif EnRichment

A suite of tools for Motif Discovery and next-gen sequencing analysis. HOMER…

A suite of tools for Motif Discovery and next-gen sequencing analysis. HOMER contains many useful tools for analyzing ChIP-Seq, GRO-Seq, RNA-Seq, DNase-Seq, Hi-C and numerous other types of…

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HiCcompare
Desktop

HiCcompare

Allows joint normalization and difference detection in multiple chromosome…

Allows joint normalization and difference detection in multiple chromosome conformation capture sequencing technologies (Hi-C) datasets. HiCcompare is an extension of the popular RNA-seq differential…

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HiCdat
Desktop

HiCdat

Provides a simple graphical user interface for data pre-processing and a…

Provides a simple graphical user interface for data pre-processing and a collection of higher-level data analysis tools implemented in R. Data pre-processing also supports a wide range of additional…

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diffHic
Desktop

diffHic

A software package for rigorous detection of differential interactions from…

A software package for rigorous detection of differential interactions from Hi-C data. diffHic provides methods for read pair alignment and processing, counting into bin pairs, filtering out…

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chromoR
Desktop

chromoR

Provides users with a statistical pipeline for analysing chromosomal…

Provides users with a statistical pipeline for analysing chromosomal interactions data (Hi-C data). chromoR combines wavelet methods and a Bayesian approach for correction (bias and noise) and…

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