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ASAP - ATAC-Seq Analysis Pipeline

Authors: Kramdi, Amira;

ASAP - ATAC-Seq Analysis Pipeline

Abstract

ASAP is a flexible analysis pipeline for ATAC-seq data analysis. Starting from raw ATAC-seq sequencing reads, ASAP outputs raw and filtered mapping files, coverage files (reads coverage ; tn5 insertion events coverage), fragment length distribution, read extraction based on fragment length, nucleosomes visualization and peak calling results. Overview of main steps Mapping Post-mapping processing and filtering: Filter (or not) reads that fall into user-defined blacklisted regions Select reads that do not carry more than minMismatch and filter by minimum mapping quality (MAPQ) Mark duplicated pairs Select concordant, non-duplicated pairs. Shift reads by 4bp as described in Schep et al.,2015: shift by 4bp toward to center of the transposition event. Compute read coverage Compute insertion events coverage Fragment length distribution Extract reads pairs based on a fragment length range and compute vizualisation arcs between fragment extremities (protection visualization) Peak calling: detection of accessible regions

Keywords

ATAC-seq, sequencing, chromatin accessibility, nucleosome positioning, ATAC-seq, sequencing, chromatin accessibility, nucleosome positioning

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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