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Corinna Montrone

dblp:47/5702 · DBLP profile ↗
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3ranked-venue papers
0as first author
0since 2021 · last 2009
—ORCID · none

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

Applied, interdisciplinary, general and emerging computing · 3

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
3 papers
Bioinformatics and computational biology · 83% Computational science and engineering · 17%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology
biocuration
0.112009
CRONOS: the cross-reference navigation server · Bioinform. 2009
Computational science and engineering
benchmark dataset
0.112005
MIPS bacterial genomes functional annotation benchmark dataset · Bioinform. 2005
Bioinformatics and computational biology › genome annotation
functional annotation
0.112005
MIPS bacterial genomes functional annotation benchmark dataset · Bioinform. 2005
Bioinformatics and computational biology
genome annotation
0.112005
MIPS bacterial genomes functional annotation benchmark dataset · Bioinform. 2005
Bioinformatics and computational biology › biological database
protein interaction database
0.112005
The MIPS mammalian protein?Cprotein interaction database · Bioinform. 2005
Bioinformatics and computational biology › protein sequence analysis
protein sequence annotation
0.012005
MIPS bacterial genomes functional annotation benchmark dataset · Bioinform. 2005

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

sequence similarity analysis · 0.1sequence similarity · 0.1interpro domain composition · 0.1
YearPublicationVenuePosition
2009 CRONOS: the cross-reference navigation server
abstract
Abstract Summary: Cross-mapping of gene and protein identifiers between different databases is a tedious and time-consuming task. To overcome this, we developed CRONOS, a cross-reference server that contains entries from five mammalian organisms presented by major gene and protein information resources. Sequence similarity analysis of the mapped entries shows that the cross-references are highly accurate. In total, up to 18 different identifier types can be used for identification of cross-references. The quality of the mapping could be improved substantially by exclusion of ambiguous gene and protein names which were manually validated. Organism-specific lists of ambiguous terms, which are valuable for a variety of bioinformatics applications like text mining are available for download. Availability: CRONOS is freely available to non-commercial users at http://mips.gsf.de/genre/proj/cronos/index.html, web services are available at http://mips.gsf.de/CronosWSService/CronosWS?wsdl. Contact: [email protected] Supplementary information: Supplementary data are available at Bioinformatics online. The online Supplementary Material contains all figures and tables referenced by this article.
Brigitte Waegele, Irmtraud Dunger, Gisela Fobo, Corinna Montrone, Hans-Werner Mewes, Andreas Ruepp
Bioinform.4
2005 The MIPS mammalian protein?Cprotein interaction database
abstract
Abstract Summary: The MIPS mammalian protein–protein interaction database (MPPI) is a new resource of high-quality experimental protein interaction data in mammals. The content is based on published experimental evidence that has been processed by human expert curators. We provide the full dataset for download and a flexible and powerful web interface for users with various requirements. Availability: The MPPI database is located at http://mips.gsf.de/proj/ppi/ Contact: [email protected]
Philipp Pagel, Stefan Kovac, Matthias Oesterheld, Barbara Brauner, Irmtraud Dunger, Goar Frishman, Corinna Montrone, Pekka Mark, Volker Stümpflen, Hans-Werner Mewes, Andreas Ruepp, Dmitrij Frishman
Bioinform.7
2005 MIPS bacterial genomes functional annotation benchmark dataset
abstract
MOTIVATION: Any development of new methods for automatic functional annotation of proteins according to their sequences requires high-quality data (as benchmark) as well as tedious preparatory work to generate sequence parameters required as input data for the machine learning methods. Different program settings and incompatible protocols make a comparison of the analyzed methods difficult. RESULTS: The MIPS Bacterial Functional Annotation Benchmark dataset (MIPS-BFAB) is a new, high-quality resource comprising four bacterial genomes manually annotated according to the MIPS functional catalogue (FunCat). These resources include precalculated sequence parameters, such as sequence similarity scores, InterPro domain composition and other parameters that could be used to develop and benchmark methods for functional annotation of bacterial protein sequences. These data are provided in XML format and can be used by scientists who are not necessarily experts in genome annotation. AVAILABILITY: BFAB is available at http://mips.gsf.de/proj/bfab
Igor V. Tetko, Barbara Brauner, Irmtraud Dunger, Goar Frishman, Corinna Montrone, Gisela Fobo, Andreas Ruepp, Alexey V. Antonov, Dimitrij Surmeli, Hans-Werner Mewes
Bioinform.5