MetMap enables genome-scale Methyltyping for determining methylation states in populations.
The ability to assay genome-scale methylation patterns using high-throughput sequencing makes it possible to carry out association studies to determine the relationship between epigenetic variation and phenotype. While bisulfite sequencing can determine a methylome at high resolution, cost inhibits...
Main Authors: | Meromit Singer, Dario Boffelli, Joseph Dhahbi, Alexander Schönhuth, Gary P Schroth, David I K Martin, Lior Pachter |
---|---|
Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2010-08-01
|
Series: | PLoS Computational Biology |
Online Access: | http://europepmc.org/articles/PMC2924245?pdf=render |
Similar Items
-
Identification and correction of systematic error in high-throughput sequence data
by: Meacham Frazer, et al.
Published: (2011-11-01) -
Barcode identification for single cell genomics
by: Akshay Tambe, et al.
Published: (2019-01-01) -
Bioinformatics for whole-genome shotgun sequencing of microbial communities.
by: Kevin Chen, et al.
Published: (2005-07-01) -
Deficiency of MIWI2 (Piwil4) induces mouse erythroleukemia cell differentiation, but has no effect on hematopoiesis in vivo.
by: James E Jacobs, et al.
Published: (2013-01-01) -
Association mapping from sequencing reads using k-mers
by: Atif Rahman, et al.
Published: (2018-06-01)