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Dive into the research topics where Rolf Apweiler is active.

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Featured researches published by Rolf Apweiler.


Nucleic Acids Research | 2000

The SWISS-PROT protein sequence database and its supplement TrEMBL in 2000

Amos Marc Bairoch; Rolf Apweiler

SWISS-PROT is a curated protein sequence database which strives to provide a high level of annotation (such as the description of the function of a protein, its domains structure, post-translational modifications, variants, etc.), a minimal level of redundancy and high level of integration with other databases. Recent developments of the database include format and content enhancements, cross-references to additional databases, new documentation files and improvements to TrEMBL, a computer-annotated supplement to SWISS-PROT. TrEMBL consists of entries in SWISS-PROT-like format derived from the translation of all coding sequences (CDSs) in the EMBL Nucleotide Sequence Database, except the CDSs already included in SWISS-PROT. We also describe the Human Proteomics Initiative (HPI), a major project to annotate all known human sequences according to the quality standards of SWISS-PROT. SWISS-PROT is available at: http://www.expasy.ch/sprot/ and http://www.ebi.ac.uk/swissprot/


Nature Biotechnology | 2014

ProteomeXchange provides globally coordinated proteomics data submission and dissemination

Juan Antonio Vizcaíno; Eric W. Deutsch; Rui Wang; Attila Csordas; Florian Reisinger; Daniel Ríos; Jose Ángel Dianes; Zhi-Jun Sun; Terry Farrah; Nuno Bandeira; Pierre-Alain Binz; Ioannis Xenarios; Martin Eisenacher; Gerhard Mayer; Laurent Gatto; Alex Campos; Robert J. Chalkley; Hans-Joachim Kraus; Juan Pablo Albar; Salvador Martínez-Bartolomé; Rolf Apweiler; Gilbert S. Omenn; Lennart Martens; Andrew R. Jones; Henning Hermjakob

5. Tools available and ways to submit data to PX ............................................................. 11 5.1. MS/MS data submissions to PRIDE .................................................................................... 11 5.1.1. Creation of supported files for “Complete” submissions .................................................. 11 5.1.1.1. PRIDE XML .................................................................................................................................. 11 5.1.1.2. mzIdentML ................................................................................................................................. 13 5.1.2. Checking the files before submission (initial quality assessment) ..................................... 14 5.1.3. File submission to PRIDE: the PX submission tool ............................................................. 15 5.1.3.1. General Information ................................................................................................................... 15 5.1.3.2. Functionality, Design and Implementation Details .................................................................... 15 5.1.3.3. New open source libraries made available with PX submission tool ......................................... 18 5.1.3.4. PX Submission Tool Java Web Start ............................................................................................ 18 5.1.4. File submission to PRIDE: Command line support using Aspera ........................................ 19 5.1.5. Examples of Partial submissions to PRIDE ......................................................................... 19 5.2. SRM data submissions via PASSEL ..................................................................................... 20


Biochimica et Biophysica Acta | 1999

On the frequency of protein glycosylation, as deduced from analysis of the SWISS-PROT database.

Rolf Apweiler; Henning Hermjakob; Nathan Sharon

The SWISS-PROT protein sequence data bank contains at present nearly 75,000 entries, almost two thirds of which include the potential N-glycosylation consensus sequence, or sequon, NXS/T (where X can be any amino acid but proline) and thus may be glycoproteins. The number of proteins filed as glycoproteins is however considerably smaller, 7942, of which 749 have been characterized with respect to the total number of their carbohydrate units and sites of attachment of the latter to the protein, as well as the nature of the carbohydrate-peptide linking group. Of these well characterized glycoproteins, about 90% carry either N-linked carbohydrate units alone or both N- and O-linked ones, attached at 1297 N-glycosylation sites (1.9 per glycoprotein molecule) and the rest are O-glycosylated only. Since the total number of sequons in the well characterized glycoproteins is 1968, their rate of occupancy is 2/3. Assuming that the same number of N-linked units and rate of sequon occupancy occur in all sequon containing proteins and that the proportion of solely O-glycosylated proteins (ca. 10%) will also be the same as among the well characterized ones, we conclude that the majority of sequon containing proteins will be found to be glycosylated and that more than half of all proteins are glycoproteins.


Nucleic Acids Research | 1997

The SWISS-PROT protein sequence data bank and its supplement TrEMBL

Amos Marc Bairoch; Rolf Apweiler

SWISS-PROT is a curated protein sequence database which strives to provide a high level of annotations (such as the description of the function of a protein, structure of its domains, post-translational modifications, variants, etc.), a minimal level of redundancy and high level of integration with other databases. Recent developments of the database include: an increase in the number and scope of model organisms; cross-references to two additional databases; a variety of new documentation files and the creation of TrEMBL, a computer annotated supplement to SWISS-PROT. This supplement consists of entries in SWISS-PROT-like format derived from the translation of all coding sequences (CDS) in the EMBL nucleotide sequence database, except the CDS already included in SWISS-PROT.


Bioinformatics | 2001

Evaluation of methods for the prediction of membrane spanning regions

Steffen Möller; Michael D. R. Croning; Rolf Apweiler

MOTIVATION A variety of tools are available to predict the topology of transmembrane proteins. To date no independent evaluation of the performance of these tools has been published. A better understanding of the strengths and weaknesses of the different tools would guide both the biologist and the bioinformatician to make better predictions of membrane protein topology. RESULTS Here we present an evaluation of the performance of the currently best known and most widely used methods for the prediction of transmembrane regions in proteins. Our results show that TMHMM is currently the best performing transmembrane prediction program.


Nature Biotechnology | 2008

Promoting coherent minimum reporting guidelines for biological and biomedical investigations: the MIBBI project

Chris F. Taylor; Dawn Field; Susanna-Assunta Sansone; Jan Aerts; Rolf Apweiler; Michael Ashburner; Catherine A. Ball; Pierre Alain Binz; Molly Bogue; Tim Booth; Alvis Brazma; Ryan R. Brinkman; Adam Clark; Eric W. Deutsch; Oliver Fiehn; Jennifer Fostel; Peter Ghazal; Frank Gibson; Tanya Gray; Graeme Grimes; John M. Hancock; Nigel Hardy; Henning Hermjakob; Randall K. Julian; Matthew Kane; Carsten Kettner; Christopher R. Kinsinger; Eugene Kolker; Martin Kuiper; Nicolas Le Novère

The Minimum Information for Biological and Biomedical Investigations (MIBBI) project aims to foster the coordinated development of minimum-information checklists and provide a resource for those exploring the range of extant checklists.


Nucleic Acids Research | 1996

The SWISS-PROT Protein Sequence Data Bank and Its New Supplement TREMBL

Amos Marc Bairoch; Rolf Apweiler

SWISS-PROT is a curated protein sequence database which strives to provide a high level of annotation (such as the description of the function of a protein, its domain structure, post-translational modifications, variants, etc), a minimal level of redundancy and a high level of integration with other databases. Recent developments of the database include: an increase in the number and scope of model organisms; cross-references to seven additional databases; a variety of new documentation files; the creation of TREMBL, and unannotated supplement to SWISS-PROT. This supplement consists of entries in SWISS-PROT-like format derived from the translation of all coding sequences (CDS) in the EMBL nucleotide sequence database, except CDS already included in SWISS-PROT.


Proteomics Clinical Applications | 2007

Clinical proteomics: A need to define the field and to begin to set adequate standards

Harald Mischak; Rolf Apweiler; Rosamonde E. Banks; Mark R. Conaway; Joshua J. Coon; Anna F. Dominiczak; Jochen H. H. Ehrich; Danilo Fliser; Mark A. Girolami; Henning Hermjakob; Denis F. Hochstrasser; Joachim Jankowski; Bruce A. Julian; Walter Kolch; Ziad A. Massy; Christian Neusuess; Jan Novak; Karlheinz Peter; Kasper Rossing; Joost P. Schanstra; O. John Semmes; Dan Theodorescu; Visith Thongboonkerd; Eva M. Weissinger; Jennifer E. Van Eyk; Tadashi Yamamoto

The aim of this manuscript is to initiate a constructive discussion about the definition of clinical proteomics, study requirements, pitfalls and (potential) use. Furthermore, we hope to stimulate proposals for the optimal use of future opportunities and seek unification of the approaches in clinical proteomic studies. We have outlined our collective views about the basic principles that should be considered in clinical proteomic studies, including sample selection, choice of technology and appropriate quality control, and the need for collaborative interdisciplinary efforts involving clinicians and scientists. Furthermore, we propose guidelines for the critical aspects that should be included in published reports. Our hope is that, as a result of stimulating discussion, a consensus will be reached amongst the scientific community leading to guidelines for the studies, similar to those already published for mass spectrometric sequencing data. We contend that clinical proteomics is not just a collection of studies dealing with analysis of clinical samples. Rather, the essence of clinical proteomics should be to address clinically relevant questions and to improve the state‐of‐the‐art, both in diagnosis and in therapy of diseases.


Nature Biotechnology | 2007

The minimum information required for reporting a molecular interaction experiment (MIMIx)

Sandra Orchard; Lukasz Salwinski; Samuel Kerrien; Luisa Montecchi-Palazzi; Matthias Oesterheld; Volker Stümpflen; Arnaud Ceol; Andrew Chatr-aryamontri; John Armstrong; Peter Woollard; John J. Salama; Susan Moore; Jérôme Wojcik; Gary D. Bader; Marc Vidal; Michael E. Cusick; Mark Gerstein; Anne-Claude Gavin; Giulio Superti-Furga; Jack Greenblatt; Joel S. Bader; Peter Uetz; Mike Tyers; Pierre Legrain; Stan Fields; Nicola Mulder; Michael K. Gilson; Michael Niepmann; Lyle D Burgoon; Javier De Las Rivas

A wealth of molecular interaction data is available in the literature, ranging from large-scale datasets to a single interaction confirmed by several different techniques. These data are all too often reported either as free text or in tables of variable format, and are often missing key pieces of information essential for a full understanding of the experiment. Here we propose MIMIx, the minimum information required for reporting a molecular interaction experiment. Adherence to these reporting guidelines will result in publications of increased clarity and usefulness to the scientific community and will support the rapid, systematic capture of molecular interaction data in public databases, thereby improving access to valuable interaction data.


Nucleic Acids Research | 2006

PRIDE: a public repository of protein and peptide identifications for the proteomics community

Philip Jones; Richard G. Côté; Lennart Martens; Antony F. Quinn; Chris F. Taylor; William Derache; Henning Hermjakob; Rolf Apweiler

PRIDE, the ‘PRoteomics IDEntifications database’ () is a database of protein and peptide identifications that have been described in the scientific literature. These identifications will typically be from specific species, tissues and sub-cellular locations, perhaps under specific disease conditions. Any post-translational modifications that have been identified on individual peptides can be described. These identifications may be annotated with supporting mass spectra. At the time of writing, PRIDE includes the full set of identifications as submitted by individual laboratories participating in the HUPO Plasma Proteome Project and a profile of the human platelet proteome submitted by the University of Ghent in Belgium. By late 2005 PRIDE is expected to contain the identifications and spectra generated by the HUPO Brain Proteome Project. Proteomics laboratories are encouraged to submit their identifications and spectra to PRIDE to support their manuscript submissions to proteomics journals. Data can be submitted in PRIDE XML format if identifications are included or mzData format if the submitter is depositing mass spectra without identifications. PRIDE is a web application, so submission, searching and data retrieval can all be performed using an internet browser. PRIDE can be searched by experiment accession number, protein accession number, literature reference and sample parameters including species, tissue, sub-cellular location and disease state. Data can be retrieved as machine-readable PRIDE or mzData XML (the latter for mass spectra without identifications), or as human-readable HTML.

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Henning Hermjakob

European Bioinformatics Institute

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Sandra Orchard

European Bioinformatics Institute

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Amos Marc Bairoch

Swiss Institute of Bioinformatics

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Chris F. Taylor

European Bioinformatics Institute

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Paul J. Kersey

European Bioinformatics Institute

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Wolfgang Fleischmann

European Bioinformatics Institute

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Manuela Pruess

European Bioinformatics Institute

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María Martín

European Bioinformatics Institute

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