NucTools: analysis of chromatin feature occupancy profiles from high-throughput sequencing data

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• 作者：Yevhen Vainshtein ; Karsten Rippe ; Vladimir B. Teif
• 关键词：MNase ; seq ; ChIP ; seq ; Nucleosome positioning ; Chromatin ; Next ; generation sequencing (NGS)
• 刊名：BMC Genomics
• 出版年：2017
• 出版时间：December 2017
• 年：2017
• 卷：18
• 期：1
• 全文大小：7903KB
• 刊物主题：Life Sciences, general; Microarrays; Proteomics; Animal Genetics and Genomics; Microbial Genetics and Genomics; Plant Genetics & Genomics;
• 出版者：BioMed Central
• ISSN：1471-2164
• 卷排序：18

文摘

BackgroundBiomedical applications of high-throughput sequencing methods generate a vast amount of data in which numerous chromatin features are mapped along the genome. The results are frequently analysed by creating binary data sets that link the presence/absence of a given feature to specific genomic loci. However, the nucleosome occupancy or chromatin accessibility landscape is essentially continuous. It is currently a challenge in the field to cope with continuous distributions of deep sequencing chromatin readouts and to integrate the different types of discrete chromatin features to reveal linkages between them.