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Amos Marc Bairoch

Researcher at Swiss Institute of Bioinformatics

Publications -  224
Citations -  80709

Amos Marc Bairoch is an academic researcher from Swiss Institute of Bioinformatics. The author has contributed to research in topics: UniProt & PROSITE. The author has an hindex of 96, co-authored 222 publications receiving 74599 citations. Previous affiliations of Amos Marc Bairoch include Ludwig Institute for Cancer Research & Carnegie Mellon University.

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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

The SWISS-PROT protein knowledgebase and its supplement TrEMBL in 2003

TL;DR: The SWISS-PROT protein knowledgebase connects amino acid sequences with the current knowledge in the Life Sciences by providing an interdisciplinary overview of relevant information by bringing together experimental results, computed features and sometimes even contradictory conclusions.