Skip to search boxSkip to navigationSkip to main content

CAME: Identification of chromatin accessibility from nucleosome occupancy and methylome sequencing

  • Yongjun Piao
    ,
  • Seong Keon Lee
    ,
  • Eun Joon Lee
    ,
  • Keith D. Robertson
    ,
  • ,
  • Keun Ho Ryu(corresponding author)
*Corresponding author for this work
Scholary Output:
Contribution to journal
Article
Peer-review

Open access

Abstract

Motivation: Chromatin accessibility plays a key role in epigenetic regulation of gene activation and silencing. Open chromatin regions allow regulatory elements such as transcription factors and polymerases to bind for gene expression while closed chromatin regions prevent the activity of transcriptional machinery. Recently, Methyltransferase Accessibility Protocol for individual templates-Bisulfite Genome Sequencing (MAPit-BGS) and nucleosome occupancy and methylome sequencing (NOMe-seq) have been developed for simultaneously profiling chromatin accessibility and DNA methylation on single molecules. Therefore, there is a great demand in developing computational methods to identify chromatin accessibility from MAPit-BGS and NOMe-seq. Results: In this article, we present CAME (Chromatin Accessibility and Methylation), a seed-extension based approach that identifies chromatin accessibility from NOMe-seq. The efficiency and effectiveness of CAME were demonstrated through comparisons with other existing techniques on both simulated and real data, and the results show that our method not only can precisely identify chromatin accessibility but also outperforms other methods.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 1139-1146 (8 pages)

Journal (Volume, Issue Number)

Bioinformatics (Volume 33, Issue 8)

Publication milestones

  • Published - 04/15/2017

Publication status

Published - 04/15/2017

ISSN

1367-4803

Publication IDs

  • Scopus: 85019165719
  • PubMed: 28035030

Publication metrics

Metrics

Fractional count
2
Fractional count
0.29
Fractional count
5
Fractional count
0.71
Fractional count
2
Fractional count
1
SciVal
FWCI
0.33
SciVal
Author count
7
SciVal
citations
3
SciVal
Paper percentile
51
Scopus
citations

PlumX, opens in new tab

Captures
15
Citation count
4

Funding Details

This work was partially supported by the National Institutes of Health [CA114229, AA019976, CA185833 and CA190429], Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT & Future Planning (No. 2013R1A2A2A01068923), the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2016-H8501-16-1013) supervised by the IITP (Institute for Information & communication Technology Promotion) and Brain Korea 21.
FundersFunding numbers
Institute for Information & communication Technology Promotion
-
NIH
AA019976, CA185833, CA114229
NCI
R01CA190429
MSIP
IITP-2016-H8501-16-1013, 2013R1A2A2A01068923
NRF
-