Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 9 de 9
Filter
1.
Nucleic Acids Res ; 52(D1): D10-D17, 2024 Jan 05.
Article in English | MEDLINE | ID: mdl-38015445

ABSTRACT

The European Molecular Biology Laboratory's European Bioinformatics Institute (EMBL-EBI) is one of the world's leading sources of public biomolecular data. Based at the Wellcome Genome Campus in Hinxton, UK, EMBL-EBI is one of six sites of the European Molecular Biology Laboratory (EMBL), Europe's only intergovernmental life sciences organisation. This overview summarises the latest developments in the services provided by EMBL-EBI data resources to scientific communities globally. These developments aim to ensure EMBL-EBI resources meet the current and future needs of these scientific communities, accelerating the impact of open biological data for all.


Subject(s)
Academies and Institutes , Computational Biology , Computational Biology/organization & administration , Computational Biology/trends , Academies and Institutes/organization & administration , Academies and Institutes/trends , Databases, Nucleic Acid , Europe
2.
Nucleic Acids Res ; 42(Database issue): D18-25, 2014 Jan.
Article in English | MEDLINE | ID: mdl-24271396

ABSTRACT

Molecular Biology has been at the heart of the 'big data' revolution from its very beginning, and the need for access to biological data is a common thread running from the 1965 publication of Dayhoff's 'Atlas of Protein Sequence and Structure' through the Human Genome Project in the late 1990s and early 2000s to today's population-scale sequencing initiatives. The European Bioinformatics Institute (EMBL-EBI; http://www.ebi.ac.uk) is one of three organizations worldwide that provides free access to comprehensive, integrated molecular data sets. Here, we summarize the principles underpinning the development of these public resources and provide an overview of EMBL-EBI's database collection to complement the reviews of individual databases provided elsewhere in this issue.


Subject(s)
Databases, Chemical , Databases, Nucleic Acid , Databases, Protein , Animals , Europe , Gene Expression Profiling , Gene Ontology , Genomics , Genotype , Humans , Internet , Metabolomics , Metagenomics , Mice , Phenotype , Proteomics
3.
Brief Bioinform ; 13(3): 383-9, 2012 May.
Article in English | MEDLINE | ID: mdl-22110242

ABSTRACT

Funding bodies are increasingly recognizing the need to provide graduates and researchers with access to short intensive courses in a variety of disciplines, in order both to improve the general skills base and to provide solid foundations on which researchers may build their careers. In response to the development of 'high-throughput biology', the need for training in the field of bioinformatics, in particular, is seeing a resurgence: it has been defined as a key priority by many Institutions and research programmes and is now an important component of many grant proposals. Nevertheless, when it comes to planning and preparing to meet such training needs, tension arises between the reward structures that predominate in the scientific community which compel individuals to publish or perish, and the time that must be devoted to the design, delivery and maintenance of high-quality training materials. Conversely, there is much relevant teaching material and training expertise available worldwide that, were it properly organized, could be exploited by anyone who needs to provide training or needs to set up a new course. To do this, however, the materials would have to be centralized in a database and clearly tagged in relation to target audiences, learning objectives, etc. Ideally, they would also be peer reviewed, and easily and efficiently accessible for downloading. Here, we present the Bioinformatics Training Network (BTN), a new enterprise that has been initiated to address these needs and review it, respectively, to similar initiatives and collections.


Subject(s)
Computational Biology/education , Community Networks , Humans , Research Personnel/education
4.
Nucleic Acids Res ; 38(Database issue): D17-25, 2010 Jan.
Article in English | MEDLINE | ID: mdl-19934258

ABSTRACT

The wide uptake of next-generation sequencing and other ultra-high throughput technologies by life scientists with a diverse range of interests, spanning fundamental biological research, medicine, agriculture and environmental science, has led to unprecedented growth in the amount of data generated. It has also put the need for unrestricted access to biological data at the centre of biology. The European Bioinformatics Institute (EMBL-EBI) is unique in Europe and is one of only two organisations worldwide providing access to a comprehensive, integrated set of these collections. Here, we describe how the EMBL-EBI's biomolecular databases are evolving to cope with increasing levels of submission, a growing and diversifying user base, and the demand for new types of data. All of the resources described here can be accessed from the EMBL-EBI website: http://www.ebi.ac.uk.


Subject(s)
Computational Biology/methods , Databases, Genetic , Databases, Nucleic Acid , Algorithms , Animals , Biology , Computational Biology/trends , Databases, Protein , Europe , Gene Expression Profiling/methods , Humans , Information Storage and Retrieval/methods , Internet , Phylogeny , Software
5.
Nucleic Acids Res ; 33(Database issue): D46-53, 2005 Jan 01.
Article in English | MEDLINE | ID: mdl-15608238

ABSTRACT

Genomic and post-genomic biological research has provided fine-grain insights into the molecular processes of life, but also threatens to drown biomedical researchers in data. Moreover, as new high-throughput technologies are developed, the types of data that are gathered en masse are diversifying. The need to collect, store and curate all this information in ways that allow its efficient retrieval and exploitation is greater than ever. The European Bioinformatics Institute's (EBI's) databases and tools have evolved to meet the changing needs of molecular biologists: since we last wrote about our services in the 2003 issue of Nucleic Acids Research, we have launched new databases covering protein-protein interactions (IntAct), pathways (Reactome) and small molecules (ChEBI). Our existing core databases have continued to evolve to meet the changing needs of biomedical researchers, and we have developed new data-access tools that help biologists to move intuitively through the different data types, thereby helping them to put the parts together to understand biology at the systems level. The EBI's data resources are all available on our website at http://www.ebi.ac.uk.


Subject(s)
Computational Biology , Databases, Nucleic Acid , Databases, Protein , Databases, Factual , Europe , Gene Expression Profiling , Genes , Genome , Humans , Models, Molecular , Protein Interaction Mapping , Proteins/chemistry , Proteomics , Signal Transduction , Systems Integration , Transcription, Genetic
6.
Nucleic Acids Res ; 31(1): 43-50, 2003 Jan 01.
Article in English | MEDLINE | ID: mdl-12519944

ABSTRACT

As the amount of biological data grows, so does the need for biologists to store and access this information in central repositories in a free and unambiguous manner. The European Bioinformatics Institute (EBI) hosts six core databases, which store information on DNA sequences (EMBL-Bank), protein sequences (SWISS-PROT and TrEMBL), protein structure (MSD), whole genomes (Ensembl) and gene expression (ArrayExpress). But just as a cell would be useless if it couldn't transcribe DNA or translate RNA, our resources would be compromised if each existed in isolation. We have therefore developed a range of tools that not only facilitate the deposition and retrieval of biological information, but also allow users to carry out searches that reflect the interconnectedness of biological information. The EBI's databases and tools are all available on our website at www.ebi.ac.uk.


Subject(s)
Computational Biology , Databases, Genetic , Animals , Cooperative Behavior , Data Collection , Databases, Protein , Europe , Genomics , Humans , Information Storage and Retrieval , Internet , Models, Molecular , Protein Structure, Tertiary , Proteins/chemistry , Proteins/physiology , Sequence Analysis, DNA , Sequence Analysis, Protein , Sequence Analysis, RNA , Transcription, Genetic , Vocabulary, Controlled
SELECTION OF CITATIONS
SEARCH DETAIL