Pregled bibliografske jedinice broj: 448506
ClustScan : an integrated program package for the detection and semi-automatic annotation of secondary metabolite clusters in genomic and metagenomic DNA data sets
ClustScan : an integrated program package for the detection and semi-automatic annotation of secondary metabolite clusters in genomic and metagenomic DNA data sets // Handbook of Molecular Microbial Ecology, Volume I: Metagenomics and Complementary Approaches / de Bruijn, J. Frans (ur.).
Hoboken (NJ): John Wiley & Sons, 2011. str. 423-432
CROSBI ID: 448506 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
ClustScan : an integrated program package for the detection and semi-automatic annotation of secondary metabolite clusters in genomic and metagenomic DNA data sets
Autori
Cullum, John ; Starčević, Antonio ; Žučko, Jurica ; Diminić, Janko ; Long, Paul F. ; Hranueli, Daslav
Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni
Knjiga
Handbook of Molecular Microbial Ecology, Volume I: Metagenomics and Complementary Approaches
Urednik/ci
De Bruijn, J. Frans
Izdavač
John Wiley & Sons
Grad
Hoboken (NJ)
Godina
2011
Raspon stranica
423-432
ISBN
978-0-470-92418-1
Ključne riječi
polyketides, non-ribosomal peptides, Actinomycetes, metagenomes, genomes, gene clusters, annotation, generic programme package
Sažetak
Clustscan ("Cluster Scanner") is a semi-automatic DNA sequence analysis tool. It has a server-client architecture, with analysis being carried out on the server and a Java user interface for the client, which can be a PC, Mac or Linux machine. Using collapsible tree overviews and zoom functions, it is possible to work with whole genomes or large sets of metagenomic data. Using custom profiles it is possible to quickly identify secondary metabolite clusters. For modular biosynthetic clusters (polyketide synthases and non-ribosomal peptide synthetases), the cluster hierarchical architecture is represented by the program and allows prediction of product chemistry that can be exported in a standard chemical format (SMILES). The user can examine the basis of predictions made and override them if necessary. An open architecture allows easy extension of the scope of the program. The program package allows rapid scanning of large DNA data sets to identify interesting clusters of genes. This chapter reviews the subsequent development of a system published in 2008 [Starcevic et al., 2008] for the semi-automatic annotation of modular biosynthetic gene clusters from different sources, including metagenomes from free-living and symbiotic microorganisms and, in silico prediction of novel chemical structures.
Izvorni jezik
Engleski
Znanstvena područja
Biotehnologija
POVEZANOST RADA
Projekti:
058-0000000-3475 - Generiranje potencijalnih lijekova u uvjetima in silico (Hranueli/Jurica Žučko, Daslav, MZOS ) ( CroRIS)
Ustanove:
Prehrambeno-biotehnološki fakultet, Zagreb
Profili:
Jurica Žučko
(autor)
Janko Diminić
(autor)
Daslav Hranueli
(autor)
Antonio Starčević
(autor)