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A Reference Methylome Database and Analysis Pipeline to Facilitate Integrative and Comparative Epigenomics
Authors:Qiang Song  Benjamin Decato  Elizabeth E Hong  Meng Zhou  Fang Fang  Jianghan Qu  Tyler Garvin  Michael Kessler  Jun Zhou  Andrew D Smith
Institution:Molecular and Computational Biology, University of Southern California, Los Angeles, California, United States of America.; University of Bonn, Institut of Experimental Hematology and Transfusion Medicine, Germany,
Abstract:DNA methylation is implicated in a surprising diversity of regulatory, evolutionary processes and diseases in eukaryotes. The introduction of whole-genome bisulfite sequencing has enabled the study of DNA methylation at a single-base resolution, revealing many new aspects of DNA methylation and highlighting the usefulness of methylome data in understanding a variety of genomic phenomena. As the number of publicly available whole-genome bisulfite sequencing studies reaches into the hundreds, reliable and convenient tools for comparing and analyzing methylomes become increasingly important. We present MethPipe, a pipeline for both low and high-level methylome analysis, and MethBase, an accompanying database of annotated methylomes from the public domain. Together these resources enable researchers to extract interesting features from methylomes and compare them with those identified in public methylomes in our database.
Keywords:
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