作者
Nicola Cannata, Emanuela Merelli, Russ B Altman
发表日期
2005/12
期刊
PLoS Computational Biology
卷号
1
期号
7
页码范围
e76
出版商
Public Library of Science
简介
The field of bioinformatics has blossomed in the last ten years, and as a result, there is a large and increasing number of researchers generating computational tools for solving problems relevant to biology. Because the number of artifacts has increased greatly, it is impossible for many bioinformatics researchers to track tools, databases, and methods in the field—or even perhaps within their own specialty area. More critically, however, biologist users and scientists approaching the field do not have a comprehensive index of bioinformatics algorithms, databases, and literature annotated with information about their context and appropriate use. We suggest that the full set of bioinformatics resources—the ‘‘resourceome’’—should be explicitly characterized and organized. A hierarchical and machine-understandable organization of the field, along with rich cross-links (an ontology!) would be a useful start. It is likely that a distributed development approach would be required so that those with focused expertise can classify resources in their area, while providing the metadata that would allow easier access to useful existing resources. The growth of bioinformatics can be quantified in many ways. The Intelligent Systems for Molecular Biology Meeting began in 1993, and numerous other meetings have been established. The International Society for Computational Biology (ISCB) was formed in 1995, and recent membership numbers have reached 2,000. The field has gone from having one or two journals to having more than a dozen—if one considers ‘‘-omics’’(ie, subjects relating to high-throughput functional genomics, where computation plays a …
引用总数
200620072008200920102011201220132014201520162017201820192020202120222023202411111815859761673433511
学术搜索中的文章
N Cannata, E Merelli, RB Altman - PLoS Computational Biology, 2005