Genome Biology

official impact factor 6.89

This article is part of the supplement: Quantitative inference of gene function from diverse large-scale datasets

Introduction

A race through the maze of genomic evidence

Timothy R Hughes1 and Frederick P Roth2

Author Affiliations

1 Donnelly Centre for Cellular and Biomolecular Research and Banting and Best Department of Medical Research, University of Toronto, Toronto, Ontario M5S3E1, Canada

2 Department of Biological Chemistry and Molecular Pharmacology, Harvard Medical School and Center for Cancer Systems Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA

Genome Biology 2008, 9(Suppl 1):S1 doi:10.1186/gb-2008-9-s1-s1

Published: 27 June 2008

First paragraph (this article has no abstract)

One of the most surprising aspects of the completed human and mouse genome sequences [1-3] has been the relatively small number of protein-coding genes. The current estimate of <24,000 protein-coding genes in human and mouse is only four times that of budding yeast [4]. A complete encyclopedia of biochemical, cellular, and physiological gene functions is now an immediate rather than a long-term goal.