Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

REDPET

General information

URL: http://redpet.bioinfo.pbf.hr/REDPET
Full name:
Description: he database includes taxonomic data to allow the assessment of the biodiversity of metagenomic libraries and a general functional analysis of genes using hidden Markov model (HMM) profiles based on the KEGG database. A set of 22 specialised HMM profiles was developed to detect putative genes for hydrocarbon-degrading enzymes. Use of these profiles showed that the metagenomic library generated after selection on crude oil had enriched genes for aerobic n-alkane degradation.
Year founded: 2018
Last update:
Version:
Accessibility:
Unaccessible
Country/Region: Croatia

Classification & Tag

Data type:
Data object:
Database category:
Major species:
Keywords:

Contact information

University/Institution: University of Zagreb
Address: Faculty of Food Technology and Biotechnology, University of Zagreb, Pierottijeva 6, HR-10000 Zagreb, Croatia
City:
Province/State:
Country/Region: Croatia
Contact name (PI/Team): Jurica Zucko
Contact email (PI/Helpdesk): rh.fbp@okcuzj

Publications

30228802
Bioprospecting for Genes Encoding Hydrocarbon-Degrading Enzymes from Metagenomic Samples Isolated from 
Northern Adriatic Sea Sediments. [PMID: 30228802]
Ranko Gacesa, Damir Baranasic, Antonio Starcevic, Janko Diminic, Marino Korlević, Mirjana Najdek, Maria Blažina, Davor Oršolić, Domagoj Kolesarić, Paul F Long, John Cullum, Daslav Hranueli, Sandi Orlic, Jurica Zucko

Three metagenomic libraries were constructed using surface sediment samples from the northern Adriatic Sea. Two of the samples were taken from a highly polluted and an unpolluted site respectively. The third sample from a polluted site had been enriched using crude oil. The results of the metagenome analyses were incorporated in the REDPET relational database (http://redpet.bioinfo.pbf.hr/REDPET), which was generated using the previously developed MEGGASENSE platform. The database includes taxonomic data to allow the assessment of the biodiversity of metagenomic libraries and a general functional analysis of genes using hidden Markov model (HMM) profiles based on the KEGG database. A set of 22 specialised HMM profiles was developed to detect putative genes for hydrocarbon-degrading enzymes. Use of these profiles showed that the metagenomic library generated after selection on crude oil had enriched genes for aerobic -alkane degradation. The use of this system for bioprospecting was exemplified using potential and genes from this library.

Food Technol. Biotechnol.. 2018:56(2) | 5 Citations (from Europe PMC, 2025-12-20)

Ranking

All databases:
5751/6895 (16.606%)
Raw bio-data:
463/582 (20.619%)
Metadata:
573/719 (20.445%)
5751
Total Rank
5
Citations
0.714
z-index

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Related Databases

Citing
Cited by

Record metadata

Created on: 2019-10-24
Curated by:
irfan Hussain [2019-11-14]
Shoaib Saleem [2019-10-24]