Author

Maulik R. Upadhyay

Ludwig-Maximilians-Universität MünchenORCID 0000-0002-4296-0021Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Assay:whole-genome sequencing· 2 Research Focus:benchmarking· 1 Research Focus:fine-mapping· 1 Research Focus:software / tool· 1 Research Focus:variant calling· 1

Frequent Co-Authors

Ivica MeđugoraciD· 3 shared Doris SeichteriD· 2 shared Ingolf Ruß· 2 shared A. Panchal· 1 shared Alexander GrafiD· 1 shared Christian Mendel· 1 shared Dominik Karl Lagler· 1 shared Elisabeth Hannemann· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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3 shared papersGenomics

Ivica MeđugoracORCID

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3 papers

Recent·Most cited

GenomicsGenetics Selection EvolutionPeer-reviewedOct 31, 2025

Back to the horns: a reconstruction of the ancestral horn state through distinct types of recombination events.

Maulik R. Upadhyay, Alexander Graf, Neža Pogorevc…·Ivica Međugorac

This study identifies de-novo generation of ancestral horned variants in cattle through distinct recombination events at the POLLED locus, highlighting genetic complexity in polledness.

1 citation

whole-genome sequencingstatistical model

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BioinformaticsbioRxivPreprintOct 18, 2024

Combined Linkage Disequilibrium and Linkage Analysis (cLDLA): implementation of a powerful approach to identify the genetic basis of complex traits in a bioinformatics workflow.

Maulik R. Upadhyay, A. Panchal, Ivica Međugorac

The paper introduces cldla, a bioinformatics workflow for performing combined linkage disequilibrium and linkage analysis (cLDLA) to identify genetic basis of complex traits, with features for heritability estimation and visualization.

DOI 10.1101/2024.10.18.619071

statistical modelbenchmarking

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GenomicsCommunications BiologyPeer-reviewedSep 6, 2022

Fine-mapping and identification of candidate causal genes for tail length in the Merinolandschaf breed

Dominik Karl Lagler, Elisabeth Hannemann, Kim Eck…·Ivica Međugorac

The paper identifies HOXB13 as a candidate gene for tail length variation in Merinolandschaf sheep through haplotype mapping and candidate variant analysis.

44 citationstop 3%

whole-genome sequencingstatistical model

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