Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Conrad Plake"'
Autor:
Michael Schroeder, Conrad Plake
Publikováno v:
Current Pharmaceutical Biotechnology. 12:449-457
Huge volumes of data, produced by microarrays and next- generation sequencing, are now at the fingertips of scientists and allow to expand the scope beyond conventional drug de- sign. New promiscuous drugs directed at multiple targets promise increas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::253fe34dff0fdb1ba1f0dc8829ea52ad
https://doi.org/10.2174/138920111794480624
https://doi.org/10.2174/138920111794480624
Publikováno v:
Nucleic Acids Research
High-throughput screens such as microarrays and RNAi screens produce huge amounts of data. They typically result in hundreds of genes, which are often further explored and clustered via enriched GeneOntology terms. The strength of such analyses is th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::43e15e9e652775f255773ecaac8eab78
https://doi.org/10.1093/nar/gkp429
https://doi.org/10.1093/nar/gkp429
Autor:
Maximilian Haeussler, Graciela Gonzalez, Conrad Plake, Martin Gerner, Goran Nenadic, Casey M. Bergman, Jörg Hakenberg, Illés Solt, Michael Schroeder
Publikováno v:
Bioinformatics 27 (19): 2769-2771.
Bioinformatics; Vol 27
Bioinformatics
Bioinformatics; Vol 27
Bioinformatics
Summary: Identifying mentions of named entities, such as genes or diseases, and normalizing them to database identifiers have become an important step in many text and data mining pipelines. Despite this need, very few entity normalization systems ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4a3b04591aa8dee7bc1c51cd1bbef71
http://edoc.mdc-berlin.de/11845/
http://edoc.mdc-berlin.de/11845/
Publikováno v:
Elements of Computational Systems Biology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c27d98fd10a7e086ed79acf6f3f68d82
https://doi.org/10.1002/9780470556757.ch15
https://doi.org/10.1002/9780470556757.ch15
Publikováno v:
BMC Bioinformatics
Background The automated retrieval and integration of information about protein point mutations in combination with structure, domain and interaction data from literature and databases promises to be a valuable approach to study structure-function re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e0245eec8a6e1bddf7ddcec5136519b
https://doi.org/10.1186/1471-2105-10-s8-s3
https://doi.org/10.1186/1471-2105-10-s8-s3
Autor:
Conrad Plake
Publikováno v:
Nature Precedings.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a9b59c9ca0f85fed1c5b0f3def079199
https://doi.org/10.1038/npre.2009.3122
https://doi.org/10.1038/npre.2009.3122
Autor:
Conrad Plake, Heiko Dietze, Michael Schroeder, Loic Royer, Jan Mönnich, Thomas Wächter, Andreas Doms, Andreas Reischuck, Michael R. Alvers, Bill Andreopoulos, Liliana Barrio-Alvers, Matthias Zschunke, Dimitra Alexopoulou, Jörg Hakenberg
Publikováno v:
Bioinformatics for Systems Biology ISBN: 9781934115022
Ontologies and Text Mining for Life Sciences
Ontologies and Text Mining for Life Sciences
With the ever increasing size of scientific literature, finding relevant documents and answering questions has become even more of a challenge. Recently, ontologies—hierarchical, controlled vocabularies—have been introduced to annotate genomic da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a350d7568a92e014c3b0a5f0e85c0ba2
https://doi.org/10.1007/978-1-59745-440-7_20
https://doi.org/10.1007/978-1-59745-440-7_20
Publikováno v:
Briefings in bioinformatics. 9(6)
The biomedical literature can be seen as a large integrated, but unstructured data repository. Extracting facts from literature and making them accessible is approached from two directions: manual curation efforts develop ontologies and vocabularies
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9f3bc7ff87020229baedcb2c83b6ac1
https://pubmed.ncbi.nlm.nih.gov/19060303
https://pubmed.ncbi.nlm.nih.gov/19060303