Author

Emanuel K. Peter

Forschungszentrum JülichORCID 0000-0001-6069-8883Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Assay:GWAS summary statistics· 1 Assay:protein sequence· 1 Research Focus:software / tool· 1

Frequent Co-Authors

Alexander H. SchugiD· 2 shared Fabrizio PucciiD· 2 shared Mehari B. Zerihun· 2 shared

Activity by Year

2019-2020 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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2 shared papersBioinformatics

Alexander H. SchugORCID

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2 papers

Recent·Most cited

BioinformaticsRNAPeer-reviewedApr 10, 2020

Evaluating DCA-based method performances for RNA contact prediction by a well-curated dataset

Fabrizio Pucci, Mehari B. Zerihun, Emanuel K. Peter, Alexander H. Schug

The paper evaluates DCA-based methods for RNA contact prediction using a curated dataset of RNA structures and finds minor performance differences between methods.

20 citations

bulk RNA-seqstatistical model

𝕏 PostBluesky

BioinformaticsBioinformaticsPeer-reviewedNov 26, 2019

pydca v1.0: a comprehensive software for Direct Coupling Analysis of RNA and Protein Sequences

Mehari B. Zerihun, Fabrizio Pucci, Emanuel K. Peter, Alexander H. Schug

pydca is a Python software for Direct Coupling Analysis of RNA and protein sequences, offering tools for sequence alignment, contact map visualization, and coevolutionary coupling inference.

44 citations

protein sequenceGWAS summary statistics

𝕏 PostBluesky