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Elisabeth Gasteiger

Researcher at Swiss Institute of Bioinformatics

Publications -  63
Citations -  48561

Elisabeth Gasteiger is an academic researcher from Swiss Institute of Bioinformatics. The author has contributed to research in topics: UniProt & Peptide mass fingerprinting. The author has an hindex of 40, co-authored 62 publications receiving 40170 citations. Previous affiliations of Elisabeth Gasteiger include University of Geneva.

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Book ChapterDOI

Protein identification and analysis tools in the ExPASy server

TL;DR: Details are given about protein identification and analysis software that is available through the ExPASy World Wide Web server and the extensive annotation available in the Swiss-Prot database is used.
Journal ArticleDOI

UniProt: the Universal Protein knowledgebase

TL;DR: The Swiss-Prot, TrEMBL and PIR protein database activities have united to form the Universal Protein Knowledgebase (UniProt), which is to provide a comprehensive, fully classified, richly and accurately annotated protein sequence knowledgebase, with extensive cross-references and query interfaces.
Journal ArticleDOI

ExPASy: The proteomics server for in-depth protein knowledge and analysis.

TL;DR: The ExPASy (the Expert Protein Analysis System) World Wide Web server, provided as a service to the life science community by a multidisciplinary team at the Swiss Institute of Bioinformatics, provides access to a variety of databases and analytical tools dedicated to proteins and proteomics.
Journal ArticleDOI

The Universal Protein Resource (UniProt)

TL;DR: During 2004, tens of thousands of Knowledgebase records got manually annotated or updated; the UniProt keyword list got augmented by additional keywords; the documentation of the keywords and are continuously overhauling and standardizing the annotation of post-translational modifications.
Journal ArticleDOI

UniProt: A hub for protein information

Alex Bateman, +127 more
TL;DR: An annotation score for all entries in UniProt is introduced to represent the relative amount of knowledge known about each protein to help identify which proteins are the best characterized and most informative for comparative analysis.