MitBASE: a comprehensive and integrated mitochondrial DNA database.

MitBASE is an integrated and comprehensive database of mitochondrial DNA data which collects all available information from different organisms and from intraspecie variants and mutants. Research institutions from different countries are involved, each in charge of developing, collecting and annotating data for the organisms they are specialised in. The design of the actual structure of the database and its implementation in a user-friendly format are the care of the European Bioinformatics Institute. The database can be accessed on the Web at the following address: http://www.ebi.ac. uk/htbin/Mitbase/mitbase.pl. The impact of this project is intended for both basic and applied research. The study of mitochondrial genetic diseases and mitochondrial DNA intraspecie diversity are key topics in several biotechnological fields. The database has been funded within the EU Biotechnology programme.     

Vertebrate MitBASE: a specialised database on vertebrate mitochondrial DNA sequences.

Vertebrate MitBASE is a specialized database where all the vertebrate mitochondrial DNA entries from primary databases are collected, revised and integrated with new information emerging from the literature. Variant sequences are also analyzed, aligned and linked to reference sequences. Data related to the same species and fragment can be viewed over the WWW. The database has a flexible interface and a retrieval system to help non-expert users and contains information not currently available in the primary databases. Vertebrate MitBASE is now available through the MitBASE home page at URL: http://www.ebi.ac.uk/htbin/Mitbase/mitb ase.pl. This work is part of a larger project, MitBASE which is a network of databases covering the full panorama of knowledge on mitochondrial DNA from protists to human sequences.     

Update of the Human MitBASE database.

Human MitBASE is a database collecting human mtDNA variants. This database is part of a greater mitochondrial genome database (MitBASE) funded within the EU Biotech Program. The present paper reports the recent improvements in data structure, data quality and data quantity. As far as the database structure is concerned it is now fully designed and implemented. Based on the previously described structure some changes have been made to optimise both data input and data quality. Cross-references with other bio-databases (EMBL, OMIM, MEDLINE) have been implemented. Human MitBASE data can be queried with the MitBASE Simple Query System (http://www.ebi.ac.uk/htbin/Mitbase/mit base.pl) and with SRS at the EBI under the 'Mutation' section (http://srs.ebi.ac.uk/srs5/). At present the HumanMitBASE node contains approximately 5000 variants related to studies investigating population polymorphisms and pathologies.     

MmtDB: a Metazoa mitochondrial DNA variants database.

The present paper describes the structure of MmtDB-a specialized database designed to collect Metazoa mitochondrial DNA variants. Priority in the data collection is given to the Metazoa species for which a large amount of variants is available, as it is the case for human variants. Starting from the sequences available in the Nucleotide Sequence Databases, the redundant sequences are removed and new sequences from other sources are added. Value-added information are associated to each variant sequence, e.g. analysed region, experimental method, tissue and cell lines, population data, sex, age, family code and information about the variation events (nucleotide position, involved gene, restriction site's gain or loss). Cross-references are introduced to the EMBL Data Library, as well as an internal cross-referencing among MmtDB entries according to their tissual, heteroplasmic, familiar and aplotypical correlation. MmtDB can be accessed through the World Wide Web at URL [see text].     

Update of MmtDB: a Metazoa mitochondrial DNA variants database.

The present paper describes the improvements in MmtDB, a specialised database designed to collect Metazoa mitochondrial DNA variants. Priority in the data collection has been given to Metazoa for which a large amount of variants is available, e.g., for humans. Starting from the sequences available in the Nucleotide Sequence Databases, the redundant sequences have been removed and new sequences from other sources have been added. Value-added information is associated to each variant sequence, e.g., analysed region, experimental method, tissue and cell lines, population data, sex, age, family code and information about the variation events (nucleotide position, involved gene, restriction site gain or loss). Cross-references are introduced to the EMBL Data Library, as well as an internal cross-referencing among MmtDB entries according to tissual, heteroplasmic, familiar and aplotypical correlation. Furthermore MmtDB has a new section, AMmtDB: Aligned Metazoan mitochondrial biosequences. MmtDB can be accessed through the World Wide Web at URL http://WWW.ba.cnr.it/[symbol: see text]areamt08/MmtDBWWW.htm     

Update of AMmtDB: a database of multi-aligned metazoa mitochondrial DNA sequences.

The present paper describes AMmtDB, a database collecting the multi-aligned sequences of vertebrate mitochondrial genes coding for proteins and tRNAs, as well as the multiple alignment of the mammalian mtDNA main regulatory region (D-loop) sequences. The genes coding for proteins are multi-aligned based on the translated sequences and both the nucleotide and amino acid multi-alignments are provided. As far as the genes coding for tRNAs are concerned, the multi-alignments based on the primary and the secondary structures are both provided; for the mammalian D-loop multi-alignments we report the conserved regions of the entire D-loop (CSB1, CSB2, CSB3, the central region, ETAS1 and ETAS2) as defined by Sbisà et al. [ Gene (1997), 205, 125-140). A flatfile format for AMmtDB has been designed allowing its implementation in SRS (http://bio-www.ba.cnr.it:8000/BioWWW/#AMMTDB ). Data selected through SRS can be managed using GeneDoc or other programs for the management of multi-aligned data depending on the user's operative system. The multiple alignments have been produced with CLUSTALV and PILEUP programs and then carefully optimized manually.     

iProClass: an integrated, comprehensive and annotated protein classification database

The iProClass database is an integrated resource that provides comprehensive family relationships and structural and functional features of proteins, with rich links to various databases. It is extended from ProClass, a protein family database that integrates PIR superfamilies and PROSITE motifs. The iProClass currently consists of more than 200,000 non-redundant PIR and SWISS-PROT proteins organized with more than 28,000 superfamilies, 2600 domains, 1300 motifs, 280 post-translational modification sites and links to more than 30 databases of protein families, structures, functions, genes, genomes, literature and taxonomy. Protein and family summary reports provide rich annotations, including membership information with length, taxonomy and keyword statistics, full family relationships, comprehensive enzyme and PDB cross-references and graphical feature display. The database facilitates classification-driven annotation for protein sequence databases and complete genomes, and supports structural and functional genomic research. The iProClass is implemented in Oracle 8i object-relational system and available for sequence search and report retrieval at http://pir.georgetown.edu/iproclass/.     

The Genographic Project public participation mitochondrial DNA database

The Genographic Project is studying the genetic signatures of ancient human migrations and creating an open-source research database. It allows members of the public to participate in a real-time anthropological genetics study by submitting personal samples for analysis and donating the genetic results to the database. We report our experience from the first 18 months of public participation in the Genographic Project, during which we have created the largest standardized human mitochondrial DNA (mtDNA) database ever collected, comprising 78,590 genotypes. Here, we detail our genotyping and quality assurance protocols including direct sequencing of the mtDNA HVS-I, genotyping of 22 coding-region SNPs, and a series of computational quality checks based on phylogenetic principles. This database is very informative with respect to mtDNA phylogeny and mutational dynamics, and its size allows us to develop a nearest neighbor-based methodology for mtDNA haplogroup prediction based on HVS-I motifs that is superior to classic rule-based approaches. We make available to the scientific community and general public two new resources: a periodically updated database comprising all data donated by participants, and the nearest neighbor haplogroup prediction tool.     

MITOMAP: a human mitochondrial genome database.

We have developed a comprehensive database (MITOMAP) for the human mitochondrial DNA (mtDNA), the first component of the human genome to be completely sequenced [Anderson et al. (1981) Nature 290, 457-465]. MITOMAP uses the mtDNA sequence as the unifying element for bringing together information on mitochondrial genome structure and function, pathogenic mutations and their clinical characteristics, population associated variation, and gene- gene interactions. As increasingly larger regions of the human genome are sequenced and characterized, the need for integrating such information will grow. Consequently, MITOMAP not only provides a valuable reference for the mitochondrial biologist, it may also provide a model for the development of information storage and retrieval systems for other components of the human genome.     

Update of AMmtDB: a database of multi-aligned metazoa mitochondrial DNA sequences

The AMmtDB database (http://bio-www.ba.cnr.it:8000/srs6/ ) has been updated by collecting the multi-aligned sequences of Chordata mitochondrial genes coding for proteins and tRNAs. The genes coding for proteins are multi-aligned based on the translated sequences and both the nucleotide and amino acid multi-alignments are provided. AMmtDB data selected through SRS can be viewed and managed using GeneDoc or other programs for the management of multi-aligned data depending on the user's operative system. The multiple alignments have been produced with CLUSTALW and PILEUP programs and then carefully optimized manually.     

Update of AMmtDB: a database of multi-aligned Metazoa mitochondrial DNA sequences

The AMmtDB database (http://bighost.area.ba.cnr.it/mitochondriome) has been updated by collecting the multi-aligned sequences of Chordata and Invertebrata mitochondrial genes coding for proteins and tRNAs. Links to the multi-aligned mtDNA intraspecies variants, collected in VarMmtDB at the Mitochondriome web site, have been introduced. The genes coding for proteins are multi-aligned based on the translated sequences and both the nucleotide and amino acid multi-alignments are provided. AMmtDB data selected through SRS can be viewed and managed using GeneDoc or other programs for the management of multi-aligned data depending on the user’s operative system. The multiple alignments have been produced with CLUSTALW and PILEUP programs and then carefully optimized manually.     

MITOMAP: an update on the status of the human mitochondrial genome database.

We have continued to develop MITOMAP, a comprehensive database for the human mitochondrial DNA (mtDNA). MITOMAP uses the mtDNA sequence as the unifying element for bringing together information on mitochondrial genome structure and function, pathogenic mutations and their clinical characteristics, population associated variation and gene-gene interactions. As increasingly larger regions of the human genome are sequenced and characterized, the need for integrating such information will grow. Consequently, MITOMAP not only provides a valuable reference for the mitochondrial biologist, it will also provide a model for the development of comprehensive, multi-media information storage and retrieval systems for other components of the human genome. This paper is an update of the changes which have occurred to MITOMAP over the past year.     

HuGeMap: a distributed and integrated Human Genome Map database.

The HuGeMap database stores the major genetic and physical maps of the human genome. It is also interconnected with the gene radiation hybrid mapping database RHdb. HuGeMap is accessible through a Web server for interactive browsing at URL http://www.infobiogen. fr/services/Hugemap , as well as through a CORBA server for effective programming. HuGeMap is intended as an attempt to build open, interconnected databases, that is databases that distribute their objects worldwide in compliance with a recognized standard of distribution. Maps can be displayed and compared with a java applet (http://babbage.infobiogen.fr:15000/Mappet/Show. html ) that queries the HuGeMap ORB server as well as the RHdb ORB server at the EBI.     

MitoPhen database: a human phenotype ontology-based approach to identify mitochondrial DNA diseases

Diagnosing mitochondrial disorders remains challenging. This is partly because the clinical phenotypes of patients overlap with those of other sporadic and inherited disorders. Although the widespread availability of genetic testing has increased the rate of diagnosis, the combination of phenotypic and genetic heterogeneity still makes it difficult to reach a timely molecular diagnosis with confidence. An objective, systematic method for describing the phenotypic spectra for each variant provides a potential solution to this problem. We curated the clinical phenotypes of 6688 published individuals with 89 pathogenic mitochondrial DNA (mtDNA) mutations, collating 26 348 human phenotype ontology (HPO) terms to establish the MitoPhen database. This enabled a hypothesis-free definition of mtDNA clinical syndromes, an overview of heteroplasmy-phenotype relationships, the identification of under-recognized phenotypes, and provides a publicly available reference dataset for objective clinical comparison with new patients using the HPO. Studying 77 patients with independently confirmed positive mtDNA diagnoses and 1083 confirmed rare disease cases with a non-mitochondrial nuclear genetic diagnosis, we show that HPO-based phenotype similarity scores can distinguish these two classes of rare disease patients with a false discovery rate <10% at a sensitivity of 80%. Enriching the MitoPhen database with more patients will improve predictions for increasingly rare variants.     

The Antimicrobial Index: a comprehensive literature-based antimicrobial database and reference work

Although the ever-growing usage of antimicrobials in the fields of medicine, pharmacology, and microbiology have undoubtedly allowed for unprecedented advances in the scientific world, these advances are nevertheless accompanied by unprecedented challenges. Sharp increases in antibiotic usages have led to inefficient and wasteful usage practices. Bacterial resistances have dramatically increased and therefore hindered the effectiveness of traditional antibiotics, thus forcing many life-science professionals to turn to plant extracts and synthetic chemicals [1]. The Antimicrobial Index (TAMI) seeks to alleviate some of these mounting difficulties through the collection and centralization of relevant antimicrobial susceptibility data from journals. Data compiled for antimicrobials include: method of action, physical properties, resistance genes, side effects, and minimal inhibitory concentrations (MIC50, MIC90 and/or ranges). TAMI currently contains data on 960 antimicrobials and over 24,000 microorganisms (3,500 unique strains) which were collected from over 400 pieces of published literature. Volume and scope of the index have been and will continue to increase and it is hoped that such an index will further foster international cooperation and communication of antimicrobial-related knowledge. TAMI can be accessed at: http://antibiotics.toku-e.com/.     

A prototype object database for mitochondrial DNA variation

Surveys of biochemical and molecular genetic variation in natural populations have generated a wealth of data, but this valuable resource has not been adequately preserved. We hope to prevent further loss by establishing a community database for population genetic surveys. We explored the feasibility of a population genetics database by developing a prototype for animal mitochondrial DNA (mtDNA) surveys. This prototype includes the specification of a format for data files that are to be submitted to the database, an open-source object database that encapsulates data with methods to display and analyze data, and a website where data can be retrieved in either its original form or extensible markup language (XML). Data from more than 50 published surveys of mtDNA variation were retrieved from the literature and entered into the database. We hope that the population genetics community will support this project by contributing both data and expertise.