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Oliver Rossbach

dblp:431/0936 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
0000-0002-1172-0359ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
protein-RNA interaction
1.012026
PARANOiD: Pipeline for Automated Read ANalysis of iCLIP Data · Bioinform. 2026
Bioinformatics and computational biology › sequence analysis › motif discovery
binding motif discovery
0.312026
PARANOiD: Pipeline for Automated Read ANalysis of iCLIP Data · Bioinform. 2026

Methods — techniques the papers use, named apart from their topics

statistical visualization · 1.0cross-link location determination · 1.0
YearPublicationVenuePosition
2026 PARANOiD: Pipeline for Automated Read ANalysis of iCLIP Data
abstract
MOTIVATION: RNA-protein interactions play essential roles in every living organism, with RNA transcription, processing, and translation being just a few examples. Therefore, determining the set of RNAs that are bound by individual RNA-binding proteins, as well as the precise location of the interaction, is crucial for biological understanding. CLIP (UV-cross-linking and immunoprecipitation) is a method developed to study these interactions. Several variations of the CLIP protocol have been developed, e.g. iCLIP (individual-nucleotide resolution CLIP), which offers nucleotide-precise resolution of the cross-linking event. RESULTS: PARANOiD is a versatile software for fully automated analysis of iCLIP and iCLIP2 data. It contains all steps necessary for preprocessing, the determination of cross-link locations, and several additional steps, which can be used to detect specific characteristics, e.g. definite distances between cross-link events or identify binding motifs. Additionally, results are visualized as statistical plots for a quick overview and as standardized bioinformatics file formats, which can be used for further analysis steps. AVAILABILITY AND IMPLEMENTATION: PARANOiD is published under the MIT license and is available from https://github.com/patrick-barth/PARANOiD. The documentation is available at https://paranoid.readthedocs.io/en/latest/index.html.
Patrick Barth, Frank Förster, Sebastian Jaenicke, Fabienne Thelen, Oliver Rossbach, Friedemann Weber, Lyudmila Shalamova, Alexander Goesmann
Bioinform.5