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A software package that generates a continuous tag sequence density estimation allowing identification of biologically meaningful sites whose output can be displayed directly in the UCSC Genome Browser.
Software for motif discovery using dinucleotide position weight matrices (PWMs).
Data analysis service providing a motif discovery platform developed to help biologists to find novel as well as known motifs in their peak datasets from transcription factor (TF) binding experiments such as ChIP-seq and ChIP-chip.
A software tool for systematic discovery of transcription factors and their cofactors from ChIP-seq data.
Software for harmonic compression of ChIP-seq data reveals protein-chromatin interaction signatures.
A software program which finds sequence elements conserved in a set of DNA sequences.
R-package for identifying differential ChIP-seq based on an ensemble of mixture models.
Finding differential chromatin modification sites from ChIP-seq data.
Detects differential binding of transcription factors with ChIP-seq.
Provides a solution for the identification of Differential Histone Modification Sites (DHMSs) by comparing two ChIP-seq libraries (L1 and L2).
R package for comparative analysis of RNA Polymerase II ChIP-Seq profiles by non-linear normalization.
A robust software package for quantitative comparison of ChIP-Seq data sets.
Software to identify genomic regions enriched in a variety of ChIP-seq and related next-generation sequencing experiments (DNA-seq), calling both broad and narrow modes of enrichment across a range of signal-to-noise ratios. ZINBA models and accounts for factors that co-vary with background or experimental signal, such as G/C content, and identifies enrichment in genomes with complex local copy number variations. ZINBA provides a single unified framework for analyzing DNA-seq experiments in challenging genomic contexts.
A software for determining DNA/protein binding sites from a ChIP-Seq experiment.
Anl algorithm for precise identification of binding sites from short reads generated from ChIP-Seq experiments.
An algorithm that allows researchers to identify transcript factor binding sites from paired-end sequencing reads. SIPeS uses a dynamic baseline directly through the piling up of fragments to effectively find peaks, overcoming the disadvantage of estimating the average length of DNA fragments from singled-end sequencing achieving more powerful prediction binding sites with high sensitivity and specificity.
THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 18,2023. A specifically designed version of BSMAP for reduced representation bisulfite sequencing (RRBS).
Software for a multi-purpose ChIP Seq peak caller.
A software program to call peaks from ChIP-seq data for transcription factor binding sites.
Software developed as a flexible mixture modeling approach for detecting peaks of one-sample (ChIP sample) or two-sample (ChIP sample and matched control sample) ChIP-seq data.