2016
DOI: 10.1101/094177
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Repliscan: a tool for classifying replication timing regions

Abstract: Background: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. Results: To accurately detect and classify regions of replication across the genome, we present Repliscan. Repliscan robustly normalizes, automatically removes outlying and uninforma… Show more

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Cited by 7 publications
(16 citation statements)
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“…Data were then analyzed as described by Zynda et al (2017). The scripts can be found at 732 https://github.com/zyndagj/repliscan.…”
Section: Genomic Dna Extraction and Immunoprecipitation Of Edu/af488-mentioning
confidence: 99%
See 3 more Smart Citations
“…Data were then analyzed as described by Zynda et al (2017). The scripts can be found at 732 https://github.com/zyndagj/repliscan.…”
Section: Genomic Dna Extraction and Immunoprecipitation Of Edu/af488-mentioning
confidence: 99%
“…The method used to assign a predominant time of replication to each 1-kb bin across the 746 genome is described by Zynda et al (2017). Each bin was classified as replicating at a given time 747 point if its normalized replication intensity was above a chromosome-specific threshold value, as 748 calculated by the following procedure.…”
Section: Classifying Predominant Replication Time 745mentioning
confidence: 99%
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“…We generated a profile of the replication activity in each S-phase stage across the genome using a custom computational pipeline called Repliscan described in detail by Zynda et al (2017). The read densities were aggregated into 1-kb windows, and after observing a strong Pearson correlation of 0.8 to 0.98 between the biological replicates (Supplemental Figure 2), the reads in each window of the replicates were summed ( Figure 1F).…”
Section: Whole-genome Profiling Of Dna Replication Timing In Maize Romentioning
confidence: 99%