Understanding Bioinformatics

Phylogenetics in the Bioinformatics Culture of Understanding

Bioinformatics, as a relatively young discipline, has grown up in a world of high-throughput large volume data that requires automatic analysis to enable us to stay on top of it all. As a response, the bioinformatics discipline has developed strategies to find patterns in a 'low signal : noise ratio' environment. While the need to process large amounts of information and extract hypotheses is b...

Efficient functional bioinformatics tools: towards understanding biological processes

Experimental high-throughput techniques in biology are generating large amounts of data related to genes and proteins at different levels. The functional analysis of such datasets is a necessary key step in their interpretation. In this contribution we review different methodologies and applications for functional bioinformatics in the context of automated data and text analysis in biology. Int...

Bioinformatics III: Structural Bioinformatics and Genome Analysis

Evolution, Bioinformatics and Evolutionary Bioinformatics Online

E volutionary Bioinformatics Online enjoyed a busy and productive fi rst year in 2005, capped off by being accepted by the Literature Selection and Technical Review Committee at the National Library of Medicine in the US, for inclusion in PubMed Central. This means that EBO will be indexed online in this internationally preeminent archive. A brief history. Evolutionary Bioinformatics Online was...

Understandin 1 . Understanding Nature Through the Symbiosisof Information Science , Bioinformatics , and Neuroinformatics

This chapter presents some background information, methods, and techniques of information science, bioand neuroinformatics in their symbiosis. It explains the rationale, motivation, and structure of the Handbook that reflects on this symbiosis. For this chapter, some text and figures from [1.1] have been used. As the introductory chapter, it gives a brief overview of the topics covered in this ...