Author

Piyush A. More

Johannes Gutenberg University MainzORCID 0000-0002-6232-6124Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:differential expression· 2 Assay:ChIP-seq· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Miguel Angel Andrade-NavarroiD· 3 shared Fédérico MariniiD· 2 shared Jean−Fred FontaineiD· 2 shared Apurva Kulkarni· 1 shared Christian Berger· 1 shared Junaid AkhtariD· 1 shared Leszek Wojnowski· 1 shared Marion SiliesiD· 1 shared

Activity by Year

2019-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersBioinformatics

Miguel Angel Andrade-NavarroORCID

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3 papers

Recent·Most cited

GenesetDiseaseDrugNetwork (GDDN): a web server for disease enrichment and drug prioritization

Piyush A. More, Jean−Fred Fontaine, Vincent ten Cate, Philipp S. Wild, Miguel Angel Andrade-Navarro

GDDN connects gene-sets to diseases and therapeutics to prioritize drugs, enabling functional analysis and personalized medicine.

bioRxiv · May 26, 2026 · PreprintBioinformatics

Target-site Dynamics and Alternative Polyadenylation Explain a Large Share of Apparent MicroRNA Differential Expression

Mert Cihan, Piyush A. More, Maximilian Sprang, Fédérico Marini, Miguel Angel Andrade-Navarro

The paper introduces MIRNAPEX, a framework that accounts for alternative polyadenylation to better understand miRNA differential expression by integrating target-gene expression and 3'UTR isoform usage.

RNA · Apr 23, 2026Peer-reviewedBioinformatics

TAF-ChIP: An ultra-low input approach for genome wide chromatin immunoprecipitation assay

Junaid Akhtar, Piyush A. More, Steffen Albrecht, Fédérico Marini, Waldemar Kaiser, Apurva Kulkarni, Leszek Wojnowski, Jean−Fred Fontaine, Miguel Angel Andrade-Navarro, Marion Silies, Christian Berger

TAF-ChIP enables high-quality ChIP-Seq results from low cell numbers, matching conventional ChIP-Seq datasets in epigenetic profiles.

Life Science Alliance · Jul 22, 2019Peer-reviewedGenomics