2017 journal article

Repliscan: a tool for classifying replication timing regions

BMC BIOINFORMATICS, 18, 1–14.

By: G. Zynda, J. Song, L. Concia  n, E. Wear n, L. Hanley-Bowdoin n , W. Thompson n , M. Vaughn

author keywords: DNA replication; Repli-seq; Classification
MeSH headings : DNA Replication Timing; Genome; Genome Size; High-Throughput Nucleotide Sequencing / methods; Sequence Analysis, DNA / methods; Software
TL;DR: To accurately detect and classify regions of replication across the genome, Repliscan is presented, which robustly normalizes, automatically removes outlying and uninformative data points, and classifies Repli-seq signals into discrete combinations of replication signatures. (via Semantic Scholar)
UN Sustainable Development Goal Categories
Source: Web Of Science
Added: August 6, 2018

Replication timing experiments that use label incorporation and high throughput sequencing produce peaked data similar to ChIP-Seq experiments. However, the differences in experimental design, coverage density, and possible results make traditional ChIP-Seq analysis methods inappropriate for use with replication timing.To accurately detect and classify regions of replication across the genome, we present Repliscan. Repliscan robustly normalizes, automatically removes outlying and uninformative data points, and classifies Repli-seq signals into discrete combinations of replication signatures. The quality control steps and self-fitting methods make Repliscan generally applicable and more robust than previous methods that classify regions based on thresholds.Repliscan is simple and effective to use on organisms with different genome sizes. Even with analysis window sizes as small as 1 kilobase, reliable profiles can be generated with as little as 2.4x coverage.