Evidence map›Paper›PMID 40411446›Full record

ArticleMolecular biology and evolution2025

GBRAP: A Comprehensive Database and Tool for Exploring Genomic Diversity Across All Domains of Life.

Sachithra Kalhari Yaddehige, Chiara Vischioni, Michele Berselli, Leonardo Alberghini, Massimo Mezzavilla, Tania Bobbo, Cristian Taccioli

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2025. 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

7 authors.

Sachithra Kalhari YaddehigeDepartment of Animal Medicine, Production and Health, University of Padova, Padua, Italy.ORCID 0009-0004-6809-6720
Chiara VischioniCNRS, INSERM, IRCAN, Côte D'Azur University, Nice, France.ORCID 0000-0002-6145-5987
Michele BerselliDepartment of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.ORCID 0000-0001-8577-9137
Leonardo AlberghiniDepartment of Animal Medicine, Production and Health, University of Padova, Padua, Italy.ORCID 0000-0002-0172-3054
Massimo MezzavillaDepartment of Biology, University of Padova, Padua, Italy.ORCID 0000-0002-9000-4595
Tania BobboInstitute for Biomedical Technologies, National Research Council (CNR), Milan, Italy.ORCID 0000-0003-0328-8903
Cristian TaccioliDepartment of Animal Medicine, Production and Health, University of Padova, Padua, Italy.ORCID 0000-0003-2995-5612

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolutionary studies require extensive examination of genomic information across all domains of life. Despite the availability of a large number of genomes through GenBank, the effective visualization or comparison of the information they contain is challenging due to many reasons, including their size. We introduce genome-based retrieval and analysis parser, a comprehensive software tool to analyze genome files, and an online database housing an extensive collection of carefully curated, high-quality genome statistics for all the organisms available in the RefSeq database of National Center for Biotechnology Information. Users can either directly search, or select from precategorized groups, the organisms of their choice and retrieve data, and the output is generated as tables containing more than 200 columns of useful genomic information (base counts, GC content, Shannon entropy, codon usage, etc.) separately calculated for different genomic elements (e.g. coding sequences, introns, transfer RNA, ribosomal RNA, noncoding RNA, etc.). The data are independently displayed (if applicable) for each chromosomal, mitochondrial, plastid, or plasmid sequence. All the data can be visualized on the database or downloaded as comma-separated value or Excel files. The genome-based retrieval and analysis parser database is free to access without any registration and is publicly available at http://tacclab.org/gbrap/.

Indexed as

Databases, GeneticGenetic VariationGenomicsSoftwareGenomebioinformaticscomparative genomicsdatabaseevolutionary biologygenomics

Identifiers

PMID40411446
PMCPMC12135583

What OpenQuestion holds

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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.