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Ralf B. Schittenhelm

dblp:289/9947 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
0000-0001-8738-1878ORCID · 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 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › network bioinformatics
interaction visualization		 0.512021
crisscrosslinkeR: identification and visualization of protein-RNA and protein-protein interactions from crosslinking mass spectrometry · Bioinform. 2021
Bioinformatics and computational biology › protein analysis › protein-protein interaction
protein-protein interaction analysis		 0.512021
crisscrosslinkeR: identification and visualization of protein-RNA and protein-protein interactions from crosslinking mass spectrometry · Bioinform. 2021
Bioinformatics and computational biology
protein-RNA interaction		 0.512021
crisscrosslinkeR: identification and visualization of protein-RNA and protein-protein interactions from crosslinking mass spectrometry · Bioinform. 2021

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

cross-linking mass spectrometry · 0.5
YearPublicationVenuePosition
2021 crisscrosslinkeR: identification and visualization of protein-RNA and protein-protein interactions from crosslinking mass spectrometry
abstract
SUMMARY: Unbiased detection of protein-protein and protein-RNA interactions within ribonucleoprotein complexes are enabled through crosslinking followed by mass spectrometry. Yet, different methods detect different types of molecular interactions and therefore require the usage of different software packages with limited compatibility. We present crisscrosslinkeR, an R package that maps both protein-protein and protein-RNA interactions detected by different types of approaches for crosslinking with mass spectrometry. crisscrosslinkeR produces output files that are compatible with visualization using popular software packages for the generation of publication-quality figures. AVAILABILITY AND IMPLEMENTATION: crisscrosslinkeR is a free and open-source package, available through GitHub: github.com/egmg726/crisscrosslinker. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Emma H. Gail, Anup D. Shah, Ralf B. Schittenhelm, Chen Davidovich
 Bioinform.3