Evidence map›Paper›PMID 42904296›Full record

ArticleBioinformatics advances2026

CentroFinder: a multi-feature framework for

Sahar Salimi, Sharon Colson, Michael Renfro, Li-Jun Ma, Mostafa Rahnama

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bioinformatics advances, 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

5 authors.

Sahar SalimiSchool of Environmental Studies, Tennessee Technological University, Cookeville, TN 38505, United States.
Sharon ColsonInformation Technology Services, Tennessee Technological University, Cookeville, TN 38505, United States.
Michael RenfroInformation Technology Services, Tennessee Technological University, Cookeville, TN 38505, United States.
Li-Jun MaDepartment of Biochemistry and Molecular Biology, University of Massachusetts Amherst, Amherst, MA 01003, United States.
Mostafa RahnamaSchool of Environmental Studies, Tennessee Technological University, Cookeville, TN 38505, United States.ORCID https://orcid.org/0000-0002-3429-4479

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: Centromeres are essential chromosomal loci, yet their computational identification remains challenging due to rapid sequence evolution, high repeat content, and the absence of conserved defining motifs. This challenge is particularly pronounced in fungi, where centromere architectures vary widely in size, sequence composition, and chromatin organization, limiting the effectiveness of single-feature or motif-based prediction approaches. Results: We present CentroFinder, a fungal-specific computational framework for Availability and implementation: CentroFinder is freely available as open-source software at https://github.com/RahnamaLab/CentroFinder. The pipeline is designed for high-performance computing environments and leverages features derived from long-read sequencing data.

Identifiers

PMID42904296
PMCPMC13682844

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.