Rcade

RCADE is a software tool designed to aid in discovering regulatory elements from chromatin immunoprecipitation followed by sequencing (ChIP-seq) data. ChIP-seq is a technique used to identify protein-DNA interactions in the genome, which is crucial in deciphering gene expression regulation. However, current methods for motif discovery from ChIP-seq data often identify non-targeted transcription factor (TF) motifs, which makes it difficult to pinpoint the actual DNA-binding sites of proteins. Moreover, such methods are even further limited when peak sequences are similar due to common ancestry rather than common binding factors.

The latter aspect mainly affects many proteins from the Cys2His2 zinc finger (C2H2-ZF) class of TFs, as endogenous retroelements with highly similar sequences often dominate their binding sites. To address these challenges, RCADE combines predictions from a DNA recognition code of C2H2-ZFs with ChIP-seq data to identify models that represent the genuine DNA binding preferences of C2H2-ZF proteins.

In contrast to other motif discovery methods, RCADE can identify generalizable binding models even from peaks exclusively located within the repeat regions of the genome, where state-of-the-art motif-finding approaches largely fail.

Topic

Gene expression;ChIP-seq

Detail

  • Operation: Sequence analysis;Differential gene expression analysis

  • Software interface: Command-line user interface;Library

  • Language: R

  • License: GNU General Public License, version 2

  • Cost: Free

  • Version name: 1.39.1

  • Credit: The National Human Genome Research Institute of the US National Institutes of Health, the US National Science Foundation, the European Commission FP7 project RADIANT.

  • Input: BAM, BAI

  • Output: -

  • Contact: jmcairns200@gmail.com

  • Collection: -

  • Maturity: Stable

Publications

  • Identification of C2H2-ZF binding preferences from ChIP-seq data using RCADE.
  • Najafabadi HS, et al. Identification of C2H2-ZF binding preferences from ChIP-seq data using RCADE. Identification of C2H2-ZF binding preferences from ChIP-seq data using RCADE. 2015; 31:2879-81. doi: 10.1093/bioinformatics/btv284
  • https://doi.org/10.1093/bioinformatics/btv284
  • PMID: 25953800
  • PMC: PMC4547615

Download and documentation


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