MethFinder - A software package for prediction of human tissue-specific methylation status of CpG islands.

作者: Sona Charles , M Radhakrishna Pillai , Priyanka James , , Reshmi Girijadevi

DOI: 10.6026/97320630009061

关键词: Computational biologyEpigeneticsDNA methylationGenomeGeneTissue specificMethylationCpG siteBioinformaticsChromatinBiology

摘要: DNA methylation, the highly studied epigenetic mechanism which is involved in regulatory events of various cellular processes like chromatin structure modifications, chromosomal inactivation, gene expressional patterns, embriyonic developments and transcriptional modification etc. Various high throughput techniques evolved for direct detection methylation actions as well information across entire region. However, despite technological advances experimental field, development software tools that has been dedicated to prediction from specific genome sequences warranted. To this end we developed a tissue classifier MethFinder based on frequency novel sequence patterns nine human tissues was capable discriminating prone resistant CpG islands with an overall accuracy 93%. Availability MethFinder freely available at www.rgcb.res.in/methfinder

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