Bioinformatics needs to adopt statistical thinking

Bioinformatics needs to adopt statistical thinking.

Editorial BIOINFORMATICS NEEDS TO ADOPT STATISTICAL THINKING Until a couple of years ago a typical question from my colleagues on the biological workbench would be phrased something like: " I have this sequence here and cannot find out anything about it. Can you help? ". From today's standpoint two things are remarkable about this question. First, it deals with only one sequence. Today, the que...

Bioinformatics to Biostochastics: Statistical Perspectives and Tasks Ahead

Bioinformatics is an emerging field of science emphasizing the application of mathematics, statistics, and informatics to study and analysis of very large molecular biological (mostly, genetic and genomic) systems (data sets). In a comparatively broader setup of large biological systems without necessarily having a predominant genetic undercurrent, and having genesis in biometry to biostatistic...

No-Boundary Thinking in Bioinformatics

The following sections are included:Bioinformatics is a Mature DisciplineThe Golden Era of Bioinformatics Has BegunNo-Boundary Thinking in BioinformaticsReferences.

Statistical signals in bioinformatics.

The Arthur M. Sackler Colloquium of the National Academy of Sciences, "Frontiers in Bioinformatics: Unsolved Problems and Challenges," organized by David Eisenberg, Russ Altman, and myself, was held October 15-17, 2004, to provide a forum for discussing concepts and methods in bioinformatics serving the biological and medical sciences. The deluge of genomic and proteomic data in the last two de...

Anticipating Viral Species Jumps: Bioinformatics & Data Needs