Evidence map›Paper›PMID 41028367›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Large-Scale Identification of Transposon Insertion Polymorphisms in Leguminous Plants from Paired-End WGS Data.

Ayushman Kumar Banerjee, Mukesh Jain, Rohini Garg

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Article in Methods in molecular biology (Clifton, N.J.), 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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0citing papers 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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Ayushman Kumar BanerjeeDepartment of Life Sciences, School of Natural Sciences, Shiv Nadar Institution of Eminence, Gautam Buddha Nagar, Uttar Pradesh, India.
Mukesh JainTranslational Genomics and Systems Biology Laboratory, School of Computational & Integrative Sciences, Jawaharlal Nehru University, New Delhi, Delhi, India.
Rohini GargDepartment of Life Sciences, School of Natural Sciences, Shiv Nadar Institution of Eminence, Gautam Buddha Nagar, Uttar Pradesh, India. rohini.garg@snu.edu.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transposable elements (TEs) are dynamic genomic sequences that significantly influence genome architecture and function. Their ability to move and replicate within the genome positions makes them key drivers of genetic diversity and evolution. Understanding the role of TEs in shaping phenotypes, especially in plants, has become increasingly important. This chapter provides a detailed guide to the bioinformatics approach for the identification of transposon insertion polymorphisms (TIPs) using paired-end whole-genome sequencing data. Through the application of computational pipelines and validated methodologies, researchers can systematically identify and characterize TEs to investigate their roles in biological processes. We have outlined an approach that offers a robust and scalable framework for studying TE-driven genome evolution and its contributions to agronomic trait development, offering critical insights for foundational research and translational applications. This protocol leverages TRACKPOSON and complementary tools to identify genomic TEs and quantify TIPs in plants, including legumes.

Indexed as

DNA Transposable ElementsFabaceaeGenome, PlantPolymorphism, GeneticWhole Genome SequencingComputational BiologyGenomicsSoftwareDNA Transposable ElementsGenome evolutionTransposable ElementsTransposon Insertion PolymorphismsWhole Genome Sequencing

Identifiers

What Socratic holds

Textmetadata
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Registered trials

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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 Socratic graph.