Author

Katarzyna Chyżyńska

University of BergenORCID 0000-0002-6907-3289Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 3 Assay:Ribo-seq· 3 Approach:statistical model· 3 Approach:machine learning (classical)· 2 Research Focus:software / tool· 2 Organism:bacteria (other)· 1 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1

Frequent Co-Authors

Eivind ValeniD· 4 shared Kornel LabuniD· 2 shared Adam P GiessiD· 1 shared Åsmund Birkeland· 1 shared Carl M. JonesiD· 1 shared Elvis Ndah· 1 shared Håkon TjeldnesiD· 1 shared Michał I. ŚwirskiiD· 1 shared

Activity by Year

2017-2021 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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Curved chords = mutual co-authorship

4 shared papersBioinformatics

Eivind ValenORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

ORFik: a comprehensive R toolkit for the analysis of translation

Håkon Tjeldnes, Kornel Labun, Yamila N. Torres Cleuren, Katarzyna Chyżyńska, Michał I. Świrski, Eivind Valen

ORFik is an R/Bioconductor toolkit for analyzing translation data, supporting multiple high-throughput assays and providing over 30 translation-related metrics.

BMC Bioinformatics · Jun 19, 2021Peer-reviewedBioinformatics

Deep conservation of ribosome stall sites across RNA processing genes

Katarzyna Chyżyńska, Kornel Labun, Carl M. Jones, Sushma Nagaraja Grellscheid, Eivind Valen

The paper identifies conserved ribosome stall sites across multiple species using ribosome profiling data, finding that specific amino acids facilitate stalling in RNA processing genes.

NAR Genomics and Bioinformatics · Apr 9, 2021Peer-reviewedGenomics

Shoelaces: an interactive tool for ribosome profiling processing and visualization

Åsmund Birkeland, Katarzyna Chyżyńska, Eivind Valen

Shoelaces automates ribosome profiling data processing and visualization, improving reproducibility by standardizing steps and reducing data loss in manual analysis.

BMC Genomics · Jul 18, 2018Peer-reviewedBioinformatics

A Unique Ribosome Signature Reveals Bacterial Translation Initiation Sites

Adam P Giess, Veronique Jonckheere, Elvis Ndah, Katarzyna Chyżyńska, Petra Van Damme, Eivind Valen

The paper develops a model to identify bacterial translation initiation sites using ribosome profiling data and N-terminal proteomics, revealing novel genes and re-annotating existing ones.

BMC Biology · Aug 30, 2017Peer-reviewedBioinformatics