Evidence map›Paper›PMID 42180431›Full record

ArticleBioinformatics advances2026

Vijini Mallawaarachchi, George Bouras, Ryan R Wick, Susanna R Grigson, Bhavya Papudeshi, Robert A Edwards

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

6 authors.

Vijini MallawaarachchiFlinders Accelerator for Microbiome Exploration, Flinders University, Bedford Park, SA 5042, Australia.ORCID https://orcid.org/0000-0002-2651-8719
George BourasSchool of Medicine, College of Health, Adelaide University, Adelaide, SA 5005, Australia.ORCID https://orcid.org/0000-0002-5885-4186
Ryan R WickDepartment of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC 3000, Australia.ORCID https://orcid.org/0000-0001-8349-0778
Susanna R GrigsonFlinders Accelerator for Microbiome Exploration, Flinders University, Bedford Park, SA 5042, Australia.ORCID https://orcid.org/0000-0003-4738-3451
Bhavya PapudeshiFlinders Accelerator for Microbiome Exploration, Flinders University, Bedford Park, SA 5042, Australia.ORCID https://orcid.org/0000-0001-5359-3100
Robert A EdwardsFlinders Accelerator for Microbiome Exploration, Flinders University, Bedford Park, SA 5042, Australia.ORCID https://orcid.org/0000-0001-8383-8949

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motivation: Assembly graphs are a fundamental data structure used by genome and metagenome assemblers to represent sequences and their overlap information, facilitating the assembler in constructing longer genomic fragments. Apart from their core use in assemblers, assembly graphs have become increasingly important in a range of downstream applications such as metagenomic binning, plasmid detection, viral genome resolution, and haplotype phasing. However, there is a need for a comprehensive tool that allows programmatic access to manipulate assembly graphs (e.g. parse, convert, filter, and analyze) across different assembly graph formats. Results: Here we present Availability and implementation: The source code of

Identifiers

PMID42180431
PMCPMC13197128

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.