Evidence map›Paper›PMID 42707711›Full record

ArticleNAR genomics and bioinformatics2026

SURE-Pipe: a pipeline to compare genomes and extract shared and unique regions.

Infant Thomas, Abhishek B Kannur, Arya Sudheer, Debyani Samantray, Akshay Pramod Ware, Budheswar Dehury, Sandipan Chakraborty, Bobby Paul

Abstract readComparative Study
In one paragraph

Article in NAR genomics and bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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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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

8 authors.

Infant ThomasDepartment of Bioinformatics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.ORCID https://orcid.org/0009-0000-6074-0922
Abhishek B KannurDepartment of Bioinformatics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.ORCID https://orcid.org/0009-0007-2966-4272
Arya SudheerDepartment of Bioinformatics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.ORCID https://orcid.org/0009-0009-0363-5443
Debyani SamantrayDepartment of Bioinformatics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.ORCID https://orcid.org/0000-0001-5576-8402
Akshay Pramod WareInstitute of Cardiovascular Regeneration, Johann Wolfgang Goethe University, Theodor-Stern-Kai 7, Frankfurt Am Main 60590, Germany.ORCID https://orcid.org/0000-0002-3783-8291
Budheswar DehuryDepartment of Bioinformatics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.ORCID https://orcid.org/0000-0002-9726-8454
Sandipan ChakrabortyDr. Reddy's Institute of Life Sciences, University of Hyderabad Campus, Gachibowli, Hyderabad, Telangana 500046, India.ORCID https://orcid.org/0000-0001-8759-1074
Bobby PaulDepartment of Bioinformatics, Manipal School of Life Sciences, Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.ORCID https://orcid.org/0000-0002-7212-1886

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of unique and shared genomic regions between organisms has substantial translational potential for the development of marker-based diagnostic assays and sequence homology-driven taxonomic classification. An automated pipeline capable of performing genome comparisons at both the intra- and inter-species levels with minimal computational requirements can significantly advance genome-driven translational research. Species-specific genomic regions are particularly valuable for sequence-based species identification and for developing DNA amplification- or hybridization-based diagnostic assays. Here, we present SURE-Pipe, an automated and flexible pipeline for genome comparison and extraction of unique and shared genomic regions (https://github.com/BPaul-bioinfoLAB/SURE-Pipe). Benchmarking of this pipeline using simulated datasets demonstrated high accuracy for shared and unique region identification. Using the pairwise genome comparison module, six genome pairs from diverse microorganisms were analysed, and identified the unique and shared regions. In addition, the multigenome comparison module was applied to 96 genomes representing 24

Indexed as

Genome, BacterialGenomicsSoftwareBacillusSequence Analysis, DNASpecies Specificity

Identifiers

PMID42707711
PMCPMC13548059

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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.