As a service to the research community, Genome Biology used to publish non-peer-reviewed articles in a 'preprint' depository to which any research can be submitted and which all individuals can access free of charge.From January 2006 Genome Biology no longer publishes new articles in this section. Any article could be submitted by authors, who have sole responsibility for the article's content. The only screening process is to ensure relevance of the preprint to Genome Biology's scope and to avoid abusive, libellous or indecent articles. Articles in this section of the journal have not been peer-reviewed. Each preprint has a permanent URL, by which it can be cited. Research submitted to the preprint depository may be simultaneously or subsequently submitted to Genome Biology or any other publication for peer review; the only requirement is an explicit citation of, and link to, the preprint in the article that is eventually published. If possible, Genome Biology will provide a reciprocal link from the preprint depository to the published article.![]() Deposited research article Using Topology of the Metabolic Network to Predict Viability of Mutant Strains1Biophysics Program, Harvard University, 77 Massachusetts Avenue, 16-361, Cambridge, MA 02139, USA. 2Harvard-MIT Division of Health Sciences & Technology, Massachusetts Institute of Technology, 77 Massachusetts Avenue, 16-343, Cambridge, MA 02139, USA.
Genome Biology 2005, 6:P15doi:10.1186/gb-2005-6-13-p15
This was the first version of this article to be made available publicly. Subject areas: Bioinformatics, Microbiology and parasitology, Biochemistry and structural biology Additional filesAdditional data file 1: Additional data file 1 Format: XLS Size: 29KB Download file This file can be viewed with: Microsoft Excel Viewer Additional data file 2: Additional data file 2 Format: XLS Size: 102KB Download file This file can be viewed with: Microsoft Excel Viewer Additional data file 3: Additional data file 3 Format: XLS Size: 50KB Download file This file can be viewed with: Microsoft Excel Viewer |


on Google Scholar







author email
corresponding author email