Author

H. S. Balyan

Chaudhary Charan Singh UniversityORCID 0000-0003-4346-5898Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genetics· 1

Signature Assays, Organisms & Methods

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Research Focus:database / resource· 2 Approach:statistical model· 2 Organism:Arabidopsis· 1 Assay:DNA methylation· 1 Organism:human· 1 Organism:mouse· 1 Organism:rat· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Anuj KumariD· 2 shared Krishna Pal Singh· 2 shared Mansi SharmaiD· 2 shared MNV Prasad GajulaiD· 2 shared Prashanth SuravajhalaiD· 2 shared Pushpendra Kumar GuptaiD· 2 shared Vijay GahlautiD· 2 shared Aditi Chauhan· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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2 shared papersBioinformatics

Anuj KumarORCID

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3 papers

Recent·Most cited

GeneticsTheoretical and Applied GeneticsPeer-reviewedJan 1, 2026

Investigations into genetic control of six spike traits with a focus on breeding for terminal heat stress tolerance in common wheat

Sourabh Kumar, Sachin Kumar, Vivudh Pratap Singh…·H. S. Balyan

The paper identifies and validates stable QTL for spike traits under heat stress across 15 environments and develops genomic resources for breeding heat-tolerant wheat.

2 citations

statistical modelvariant calling

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BioinformaticsF1000ResearchPeer-reviewedMay 29, 2018

A Web-resource for Nutrient Use Efficiency related Genes, QTLs, and microRNA in important cereals and model plants

Anuj Kumar, Ajay Pandeya, Girik Malik…·Pushpendra Kumar Gupta

The paper presents a web-resource curating nutrient use efficiency genes, QTLs, and microRNAs in cereals and model plants to aid research on nutrient uptake and utilization.

22 citations

humanmouse

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BioinformaticsbioRxivPreprintNov 2, 2017

Genome-Wide Mining, Characterization and Development of miRNA-SSRs in Arabidopsis thaliana

Anuj Kumar, Aditi Chauhan, Mansi Sharma…·Pushpendra Kumar Gupta

The paper identifies and characterizes miRNA-SSRs in Arabidopsis thaliana pre-miRNA sequences, finding they are abundant in non-coding regions and could serve as new markers for breeding.

10 citations

ArabidopsisDNA methylation

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