BACTOME—a reference database to explore the sequence- and gene expression-variation landscape of Pseudomonas aeruginosa clinical isolates. Issue Volume 47:Issue D1(2019) (1st October 2018)
- Record Type:
- Journal Article
- Title:
- BACTOME—a reference database to explore the sequence- and gene expression-variation landscape of Pseudomonas aeruginosa clinical isolates. Issue Volume 47:Issue D1(2019) (1st October 2018)
- Main Title:
- BACTOME—a reference database to explore the sequence- and gene expression-variation landscape of Pseudomonas aeruginosa clinical isolates
- Authors:
- Hornischer, Klaus
Khaledi, Ariane
Pohl, Sarah
Schniederjans, Monika
Pezoldt, Lorena
Casilag, Fiordiligie
Muthukumarasamy, Uthayakumar
Bruchmann, Sebastian
Thöming, Janne
Kordes, Adrian
Häussler, Susanne - Abstract:
- Abstract: Extensive use of next-generation sequencing (NGS) for pathogen profiling has the potential to transform our understanding of how genomic plasticity contributes to phenotypic versatility. However, the storage of large amounts of NGS data and visualization tools need to evolve to offer the scientific community fast and convenient access to these data. We introduce BACTOME as a database system that links aligned DNA- and RNA-sequencing reads of clinical Pseudomonas aeruginosa isolates with clinically relevant pathogen phenotypes. The database allows data extraction for any single isolate, gene or phenotype as well as data filtering and phenotypic grouping for specific research questions. With the integration of statistical tools we illustrate the usefulness of a relational database structure for the identification of phenotype–genotype correlations as an essential part of the discovery pipeline in genomic research. Furthermore, the database provides a compilation of DNA sequences and gene expression values of a plethora of clinical isolates to give a consensus DNA sequence and consensus gene expression signature. Deviations from the consensus thereby describe the genomic landscape and the transcriptional plasticity of the species P. aeruginosa . The database is available at https://bactome.helmholtz-hzi.de .
- Is Part Of:
- Nucleic acids research. Volume 47:Issue D1(2019)
- Journal:
- Nucleic acids research
- Issue:
- Volume 47:Issue D1(2019)
- Issue Display:
- Volume 47, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 47
- Issue:
- 1
- Issue Sort Value:
- 2019-0047-0001-0000
- Page Start:
- D716
- Page End:
- D720
- Publication Date:
- 2018-10-01
- Subjects:
- Nucleic acids -- Periodicals
Molecular biology -- Periodicals
572.805 - Journal URLs:
- http://nar.oxfordjournals.org/ ↗
http://www.ncbi.nlm.nih.gov/pmc/journals/4 ↗
http://ukcatalogue.oup.com/ ↗
http://firstsearch.oclc.org ↗ - DOI:
- 10.1093/nar/gky895 ↗
- Languages:
- English
- ISSNs:
- 0305-1048
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 6183.850000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 12038.xml