Evidence map›Paper›PMID 42780185›Full record

ArticlebioRxiv : the preprint server for biology2026

FetchPA: a guided, end-to-end solution for local ATAC-Seq data processing and analyses.

Dustin R Fetch, Alexey A Soshnev

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Dustin R FetchGraduate Program in Developmental and Regenerative Sciences, The University of Texas at San Antonio, San Antonio, Texas, 78249, USA.ORCID 0009-0004-5035-3768
Alexey A SoshnevDepartment of Neuroscience, Developmental and Regenerative Biology, The University of Texas at San Antonio, San Antonio, Texas, 78249, USA.ORCID 0000-0002-1713-3470

Funding

Targeting the midbrain astrocyte epigenome to regulate drug-dependent behaviorR21DA064861 · NIDA · UNIVERSITY OF TEXAS SAN ANTONIO · PI Alexey A Soshnev, Matthew J. Wanat · 2026 to 2026
$185k
NIDA NIH HHS R21 DA064861
6 · The paper itself

Abstract

Local genome accessibility strongly correlates with activity of cis-regulatory elements, and Assay for Transposase-Accessible Chromatin coupled with next-generation sequencing (ATAC-Seq) has emerged as method of choice to profile chromatin accessibility in both healthy and pathogenic conditions. The introduction of streamlined protocols and manufacturer kits has made this technique accessible to labs of a variety of disciplines, background, and research interests. Many bioinformatics tools have been created for the quality control, mapping, and visualization of ATAC-seq data, however these tools require familiarity with shell scripting, version control, UNIX directory structure, Python and/or R. Several pipelines for the processing of ATAC-seq data have been developed, yet even with these tools, bioinformatic analyses represents a bottleneck between wet-lab protocol execution and graphical representation of differentially accessible regions. To address this problem, we assembled FetchPA, an intuitive pipeline which allows users with virtually no scripting and version control experience to install and manage all software for end-to-end analyses of ATAC-Seq data. FetchPA handles both local and public repository sources of sequencing data, executes standard QC benchmarks, and handles genome assembly and alignment using industry-standard PEPATAC pipeline. Further, it guides the user through the identification of differentially accessible regions and allows basic exploratory analyses via a dialogue interface. FetchPA operates in Windows Subsystem for Linux (WSL) and is installed via a single script that handles all individual tools, as well as their dependencies and updates, reference genome annotations and system resource allocation.

Identifiers

PMID42780185
PMCPMC13596558

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.