Evidence map›Paper›PMID 42184002›Full record

ArticleJournal of molecular evolution2026

User Guided Selection and Alignment of Sequence Data by GeneMatrix.

Simon J Goodman, Ian M Carr

Abstract read
In one paragraph

Article in Journal of molecular evolution, 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.

Simon J GoodmanSchool of Biology, Faculty of Biological Science, University of Leeds, Leeds, LS2 9JT, UK.
Ian M CarrSchool of Medicine, Leeds Institute of Medical Research at St James's, University of Leeds, Leeds, LS9 7TF, UK. i.m.carr@leeds.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The alignment of multiple protein or DNA sequences is a common task in many biological fields. These alignments may then be used to identify conserved regions or positions, which could in turn be used to score the likely pathogenicity of a sequence change in a patient, detect functional domains that can determine the activity of an unknown gene, or map evolutionary relationships by tracking changes in conserved regions. The development of high-throughput sequencing technologies has trivialised the generation of sequencing data, which is made available through public repositories, such as GenBank, hosted by the NCBI. In October 2024, GenBank held approximately 4.7 billion sequences from over 580,000 species. Consequently, the constraints of multiple sequence alignment estimation have moved from data generation to data retrieval, extraction and filtering. While human-curated datasets for widely used sequences have been released, retrieving datasets for less commonly used sequences can be onerous. Therefore, we have developed GeneMatrix, an application that aids the extraction, filtering, aggregation, and alignment of DNA and protein sequences from GenBank-formatted files of single gene sequences or genomes such as viruses and mitochondria.

Indexed as

Sequence AlignmentSoftwareAlgorithmsAnimalsComputational BiologyDatabases, Nucleic AcidHigh-Throughput Nucleotide SequencingHumansSequence Analysis, DNAMultiple sequence alignmentsPhylogeneticsSoftware

Identifiers

PMID42184002
PMCPMC13294245

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.