Author

Damianos P. Melidis

Leibniz University HannoverORCID 0000-0001-8503-1962Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 2 Genomics· 2 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:database / resource· 2 Approach:deep learning· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Assay:proteomics· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1

Frequent Co-Authors

Wolfgang NejdliD· 3 shared Adithi R. VaradarajaniD· 1 shared Amruta JoshiiD· 1 shared Andrea PatrignaniiD· 1 shared Anja Schöner-Heinisch· 1 shared Anke Lesinski‐SchiedatiD· 1 shared Anna BernasconiiD· 1 shared Arif CanakogluiD· 1 shared

Activity by Year

2017-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 11 mutual co-author links

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3 shared papersBioinformatics

Wolfgang NejdlORCID

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5 papers

Recent·Most cited

MicrobiologymSystemsPeer-reviewedJul 31, 2026

High-resolution taxonomic profiling and metatranscriptomics identify microbial, biochemical, host and ecological factors in peri-implant disease

Szymon P. Szafrański, Amruta Joshi, Matthias Steglich…·Meike Stiesch

DOI 10.1128/msystems.00754-25

humanmetagenomics

𝕏 PostBluesky

BioinformaticsPLoS Computational BiologyPeer-reviewedSep 21, 2022

GenOtoScope: Towards automating ACMG classification of variants associated with congenital hearing loss

Damianos P. Melidis, Christian Landgraf, Gunnar Schmidt…·Bernd Auber

GenOtoScope automates ACMG/AMP variant classification for congenital hearing loss, achieving higher accuracy and precision than existing tools.

9 citations

humanwhole-exome sequencing

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BioinformaticsAlgorithmsPeer-reviewedJan 19, 2021

dom2vec: Unsupervised protein domain embeddings capture domains structure and function providing data-driven insights into collocations in domain architectures

Damianos P. Melidis, Brandon Malone, Wolfgang Nejdl

The paper introduces dom2vec, a method for learning protein domain embeddings and evaluates their quality using intrinsic strategies, showing they perform well on downstream tasks.

15 citations

protein sequencedeep learning

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GenomicsNucleic Acids ResearchPeer-reviewedSep 21, 2020

ViruSurf: an integrated database to investigate viral sequences

Arif Canakoglu, Pietro Pinoli, Anna Bernasconi…·Stefano Ceri

ViruSurf is a database that integrates viral sequences and metadata from multiple sources, enabling complex searches to support research on viral sequences and their variants.

49 citations

database / resource

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GenomicsGenome ResearchPeer-reviewedDec 1, 2017

An integrative strategy to identify the entire protein coding potential of prokaryotic genomes by proteogenomics

Ulrich Omasits, Adithi R. Varadarajan, Michael Schmid…·Christian H. Ahrens

The paper develops an integrative proteogenomics strategy to improve prokaryotic genome annotation by combining multiple resources and experimental data, identifying novel ORFs and correcting errors.

81 citations

bacteria (other)proteomics

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