Evidence map›Paper›PMID 41889865›Full record

ArticlebioRxiv : the preprint server for biology2026

Exon Targeted Retrieval and Classification Toolbox (ExTRaCT): a gene search pipeline to find APOBEC3 Z-domains in novel bat genomes.

Brenda Delamonica, Bat1K 21-Families Group, Mani Larijani, Thomas MacCarthy, Liliana M Dávalos

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

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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

5 authors.

Brenda DelamonicaDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA.ORCID 0009-0008-8430-9238
Bat1K 21-Families Group
Mani LarijaniDepartment of Molecular Biology and Biochemistry, Simon Fraser University, Burnaby, BC V5A 1S6, Canada.
Thomas MacCarthyDepartment of Applied Mathematics and Statistics, Stony Brook University, Stony Brook, NY 11794, USA.
Liliana M DávalosDepartment of Ecology and Evolution, Consortium for Inter-Disciplinary Environmental Research, and Institute for Applied Computational Science, Stony Brook University, Stony Brook, NY 11794, USA.ORCID 0000-0002-4327-7697

Funding

IRACDA - The New York Consortium for the Advancement of Postdoctoral Scholars (NY CAPS)Phase IIK12GM102778 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI Carol A. Carter, Karian Janice Wright · 2012 to 2026
$13.1M
A combined computational and experimental approach to the evolution and role of the DNA sequence environment in targeting mutations to antibody V regionsR01AI132507 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI RIZZO, ROBERT C., SCHARFF, MATTHEW D · 2018 to 2022
$3.0M
NIAID NIH HHS R01 AI132507NIGMS NIH HHS K12 GM102778
6 · The paper itself

Abstract

Motivation: Several computation gene search tools exist to identify and annotate an ever-growing body of newly sequenced genomes of different species. Many annotation tools, however, fall short when the target species diverges from well-studied model organisms, and when searching for short genes with multiple copies. Results: We have developed the Exon Targeted Retrieval and Classification Toolbox, ExTRaCT, an automated pipeline to identify any gene exon with conserved structure in novel species genome assemblies. In the use cases presented here, we applied our search tool to 102 bat genomes to find APOBEC3 gene family members. We show that our homolog search algorithm is efficient (run time average of 5 hours for over 100 genomes), works well with reference sequences distantly related to the target (1 out of 498 misclassifications, 0 false positives and 2 false negatives), and is easy to use. As genomic sequencing becomes faster and more accessible, ExTRaCT has downstream applications in phylogenetic, biochemical and genomic studies. It is a simple computational tool that provides a solution to target gene identification, requiring neither whole-genome-assembly annotations, nor prior knowledge of closely related species.

Identifiers

PMID41889865
PMCPMC13015710

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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.