title: Robustness of metabolic map reconstruction.
abstract: With the ever increasing amount of genomic data available, the interest for generating biochemical pathways has grown tremendously. So far, mainly complete genomes have been used to reconstruct the biochemical pathways and their associated interactions. However, a large number of low coverage genomes, as well as other sources of partial genomic data, are currently available for many organisms. In order to be able to use incomplete data for metabolic reconstruction, the inherent properties of this procedure need to be investigated. In this short note, we describe the robustness and predictive power of metabolic reconstructions using partial information from Schizosaccharomyces pombe. We also discuss the implications of the results on reference genome projects as well as other large-scale sequencing data.
authors.affiliation: Computational Genomics Group, The European Bioinformatics Institute, EMBL Cambridge Outstation, Wellcome Trust Genome Campus, Cambridge CB10 1SD, UK. ahren@ebi.ac.uk
authors.forename: Dag G
authors.initials: DG
authors.lastname: Ahren
authors.forename: Christos A
authors.initials: CA
authors.lastname: Ouzounis
mesh_terms: D002874:Chromosome Mapping / Q000379:methods*; D020869:Gene Expression Profiling / Q000379:methods*; D015966:Gene Expression Regulation, Fungal / Q000502:physiology*; D012568:Schizosaccharomyces / Q000235:genetics / Q000378:metabolism; D029702:Schizosaccharomyces pombe Proteins / Q000235:genetics* / Q000378:metabolism*; D020539:Sequence Analysis, Protein / Q000379:methods*; D015398:Signal Transduction / Q000502:physiology*
chemical_list: D029702:Schizosaccharomyces pombe Proteins