jChIP: A graphical environment for exploratory ChIP-Seq data analysis

被引:2
作者
Chojnowski K. [1 ]
Goryca K. [1 ]
Rubel T. [2 ]
Mikula M. [1 ]
机构
[1] Department of Genetics, Maria Sklodowska-Curie Memorial Cancer Center, Institute of Oncology, Warsaw
[2] Warsaw University of Technology, Institute of Radioelectronics, Warsaw
关键词
ChIP-Seq; Computational genomics; Data analysis; Next-generation sequencing;
D O I
10.1186/1756-0500-7-676
中图分类号
学科分类号
摘要
Background: Chromatin immunoprecipitation coupled with next-generation sequencing (ChIP-Seq) provides a powerful tool for discovering protein-DNA interactions. Still, the computational analysis of the great amount of ChIP-Seq data generated, involving mapping of raw data to reference genome, has been a bottle neck for most of researchers in the transcriptional and epigenetic fields. Thus, user-friendly ChIP-Seq processing method sare much needed to enable greater community of computational and bench biologists to exploit the power of ChIP-Seq technology. Findings: jChIP is a graphical tool that was developed to analyze and display ChIP-Seq data. It matches reads to the corresponding loci downloaded from Ensembl Genes or Ensembl Regulation databases. jChIP provides a friendly interface for exploratory analysis of mapped reads as well as peak calling data. The built-in functions for graphical display of reads distribution allows to evaluate the quality and meaning of ChIP-Seq data. Conclusion: jChIP is a user-friendly GUI-based software for the analysis of ChIP-Seq data within context of known genomic features. Further, jChIP provides tools for discovering new and refining known genome-wide protein binding patterns. © 2014 Chojnowski et al.; licensee BioMed Central Ltd.
引用
收藏
相关论文
共 12 条
  • [1] Furey T.S., ChIP-seq and beyond: New and improved methodologies to detect and characterize protein-DNA interactions, Nat Rev Genet, 13, pp. 840-852, (2012)
  • [2] Park P.J., ChIP-seq: Advantages and challenges of a maturing technology, Nat Rev Genet, 10, pp. 669-680, (2009)
  • [3] Heinz S., Benner C., Spann N., Bertolino E., Lin Y.C., Laslo P., Cheng J.X., Murre C., Singh H., Glass C.K., Simple combinations of lineage-determining transcription factors prime cis-regulatory elements required for macrophage and B cell identities, Mol Cell, 38, pp. 576-589, (2010)
  • [4] Ji H., Jiang H., Ma W., Wong W.H., Using CisGenome to analyze ChIP-chip and ChIP-seq data, Curr. Protoc. Bioinformatics, (2011)
  • [5] Giannopoulou E.G., Elemento O., An integrated ChIP-seq analysis platform with customizable workflows, BMC Bioinformatics, 12, (2011)
  • [6] Quinlan A.R., Hall I.M., BEDTools: A flexible suite of utilities for comparing genomic features, Bioinformatics, 26, pp. 841-842, (2010)
  • [7] Karolchik D., Barber G.P., Casper J., Clawson H., Cline M.S., Diekhans M., Dreszer T.R., Fujita P.A., Guruvadoo L., Haeussler M., Harte R.A., Heitner S., Hinrichs A.S., Learned K., Lee B.T., Li C.H., Raney B.J., Rhead B., Rosenbloom K.R., Sloan C.A., Speir M.L., Zweig A.S., Haussler D., Kuhn R.M., Kent W.J., The UCSC Genome Browser database: 2014 Update, Nucleic Acids Res, 42, pp. D764-D770, (2014)
  • [8] Ye T., Krebs A.R., Choukrallah M.-A., Keime C., Plewniak F., Davidson I., Tora L., seqMINER: An integrated ChIP-seq data interpretation platform, Nucleic Acids Res, 39, (2011)
  • [9] Shin H., Liu T., Manrai A.K., Liu X.S., CEAS: Cis-regulatory element annotation system, Bioinformatics, 25, pp. 2605-2606, (2009)
  • [10] Smedley D., Haider S., Ballester B., Holland R., London D., Thorisson G., Kasprzyk A., BioMart - Biological queries made easy, BMC Genomics, 10, (2009)