MmtDB: a Metazoa mitochondrial DNA variants database

A survey on the algorithm and development of multiple sequence alignment

Multiple sequence alignment (MSA) is an essential cornerstone in bioinformatics, which can reveal the potential information in biological sequences, such as function, evolution and structure. MSA is widely used in many bioinformatics scenarios, such as phylogenetic analysis, protein analysis and genomic analysis. However, MSA faces new challenges with the gradual increase in sequence scale and the increasing demand for alignment accuracy. Therefore, developing an efficient and accurate strategy for MSA has become one of the research hotspots in bioinformatics. In this work, we mainly summarize the algorithms for MSA and its applications in bioinformatics. To provide a structured and clear perspective, we systematically introduce MSA's knowledge, including background, database, metric and benchmark. Besides, we list the most common applications of MSA in the field of bioinformatics, including database searching, phylogenetic analysis, genomic analysis, metagenomic analysis and protein analysis. Furthermore, we categorize and analyze classical and state-of-the-art algorithms, divided into progressive alignment, iterative algorithm, heuristics, machine learning and divide-and-conquer. Moreover, we also discuss the challenges and opportunities of MSA in bioinformatics. Our work provides a comprehensive survey of MSA applications and their relevant algorithms. It could bring valuable insights for researchers to contribute their knowledge to MSA and relevant studies.

The mitBASE human dataset structure

MitBASE is a comprehensive and integrated mitochondrial genome database funded within the EU BIOTECH PROGRAM. It is a project for the development and implementation of an integrated and comprehensive database of mitochondrial data which will collect all available information from different organisms and from intraspecies variants and mutants. The present paper describes the structure of the Human dataset in mitBASE where human molecular data are distinguished from clinical and pathological data. MitBASE home page address is: http://www.ebi.ac.uk/htbin/Mitbase/mitb ase.pl

The Organelle Genome Database Project (GOBASE)

The taxonomically broad organelle genome database (GOBASE) organizes and integrates diverse data related to organelles (mitochondria and chloroplasts). The current version of GOBASE focuses on the mitochondrial subset of data and contains molecular sequences, RNA secondary structures and genetic maps, as well as taxonomic information for all eukaryotic species represented. The database has been designed so that complex biological queries, especially ones posed in a comparative genomics context, are supported. GOBASE has been implemented as a relational database with a web-based user interface (http://megasun.bch.umontreal.ca/gobase/gobas e.html ). Custom software tools have been written in house to assist in the population of the database, data validation, nomenclature standardization and front-end design. The database is fully operational and publicly accessible via the World Wide Web, allowing interactive browsing, sophisticated searching and easy downloading of data.

Mitochondrial DNA mutations and pathogenesis

Approximately there years ago, this journal published a review on the clinical and molecular analysis of mitochondrial encephalomyopathies, with emphasis on defects in mitochondrial DNA (mtDNA). At the time, approximately 30 point mutations associated with a variety of maternally-inherited (or rarely, sporadic) disorders had been described. Since that time, almost twenty new pathogenic mtDNA point mutations have been described, and the pace of discovery of such mutations shows no signs of abating. This accumulating body of data has begun to reveal some patterns that may be relevant to pathogenesis.