Estimating enrichment of repetitive elements from high-throughput sequence data

被引:77
|
作者
Day, Daniel S. [1 ,2 ]
Luquette, Lovelace J. [1 ]
Park, Peter J. [1 ,2 ,3 ]
Kharchenko, Peter V. [1 ,3 ]
机构
[1] Harvard Univ, Sch Med, Ctr Biomed Informat, Boston, MA 02115 USA
[2] Harvard MIT Hlth Sci & Technol, Cambridge, MA 02139 USA
[3] Childrens Hosp, Informat Program, Boston, MA 02115 USA
来源
GENOME BIOLOGY | 2010年 / 11卷 / 06期
关键词
H3; LYSINE-9; METHYLATION; EMBRYONIC STEM-CELLS; CHIP-SEQ EXPERIMENTS; ENDOGENOUS RETROVIRUSES; TRANSPOSABLE ELEMENTS; HUMAN GENOME; HISTONE H3; TRANSCRIPTIONAL NETWORK; SATELLITE REPEATS; DNA METHYLATION;
D O I
10.1186/gb-2010-11-6-r69
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
We describe computational methods for analysis of repetitive elements from short-read sequencing data, and apply them to study histone modifications associated with the repetitive elements in human and mouse cells. Our results demonstrate that while accurate enrichment estimates can be obtained for individual repeat types and small sets of repeat instances, there are distinct combinatorial patterns of chromatin marks associated with major annotated repeat families, including H3K27me3/H3K9me3 differences among the endogenous retroviral element classes.
引用
收藏
页数:12
相关论文
共 50 条
  • [31] Tools and best practices for retrotransposon analysis using high-throughput sequencing data
    Teissandier, Aurelie
    Servant, Nicolas
    Barillot, Emmanuel
    Bourc'his, Deborah
    MOBILE DNA, 2019, 10 (01)
  • [32] Progresses in epigenetic studies of asthma from the perspective of high-throughput analysis technologies: a narrative review
    Zhang, Ting
    Huang, Peide
    Qiu, Chen
    ANNALS OF TRANSLATIONAL MEDICINE, 2022, 10 (08)
  • [33] High-Throughput Transfection of Differentiated Primary Neurons from Rat Forebrain
    Marine, Shane
    Freeman, Jamie
    Riccio, Antonella
    Axenborg, Marie-Louise
    Pihl, Johan
    Ketteler, Robin
    Aspengren, Sara
    JOURNAL OF BIOMOLECULAR SCREENING, 2012, 17 (05) : 692 - 696
  • [34] New insights into the avian epigenome from high-throughput sequencing experiments
    Mersch, Marjorie
    David, Sarah-Anne
    Vitorino Carvalho, Anais
    Foissac, Sylvain
    Collin, Anne
    Pitel, Frederique
    Coustham, Vincent
    INRA PRODUCTIONS ANIMALES, 2018, 31 (04): : 325 - 335
  • [35] Comparative Study of Feature Selection and Classification Techniques for High-Throughput DNA Methylation Data
    Alkuhlani, Alhasan
    Nassef, Mohammad
    Farag, Ibrahim
    PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT SYSTEMS AND INFORMATICS 2016, 2017, 533 : 793 - 803
  • [36] Detecting differentially methylated loci for multiple treatments based on high-throughput methylation data
    Chen, Zhongxue
    Huang, Hanwen
    Liu, Qingzhong
    BMC BIOINFORMATICS, 2014, 15
  • [37] Read count-based method for high-throughput allelic genotyping of transposable elements and structural variants
    Kuhn, Alexandre
    Ong, Yao Min
    Quake, Stephen R.
    Burkholder, William F.
    BMC GENOMICS, 2015, 16
  • [38] Allelome.PRO, a pipeline to define allele-specific genomic features from high-throughput sequencing data
    Andergassen, Daniel
    Dotter, Christoph P.
    Kulinski, Tomasz M.
    Guenzl, Philipp M.
    Bammer, Philipp C.
    Barlow, Denise P.
    Pauler, Florian M.
    Hudson, Quanah J.
    NUCLEIC ACIDS RESEARCH, 2015, 43 (21)
  • [39] Roles of Lineage-Determining Transcription Factors in Establishing Open Chromatin: Lessons From High-Throughput Studies
    Heinz, Sven
    Glass, Christopher K.
    EPIGENETIC REGULATION OF LYMPHOCYTE DEVELOPMENT, 2012, 356 : 1 - 15
  • [40] A Pipeline for the Error-Free Identification of Somatic Alu Insertions in High-Throughput Sequencing Data
    Nugmanov, G. A.
    Komkov, A. Y.
    Saliutina, M. V.
    Minervina, A. A.
    Lebedev, Y. B.
    Mamedov, I. Z.
    MOLECULAR BIOLOGY, 2019, 53 (01) : 138 - 146