tutorial arrow
×
Create your own tool library
Bookmark tools and put favorites into folders to find them easily.

PROkaryotic TRAITS ProTraits

Online

Describes environmental preferences of microbes, interactions with other organisms, biochemical phenotypes, resistance to chemicals and other stressors. ProTraits recognizes 424 phenotypic traits and covers 3,046 bacterial or archeal species. Overall, it provides 545,081 annotations (less than 10% of false discovery rate (FDR), tallying both the positive and the negative labels), of which 503,308 are novel. Moreover, the ProTraits pipeline can infer phenotypes using five independant sources of genomic data, while providing estimates of FDRs that agree with manual curation.

User report

tutorial arrow
×
Vote up tools and offer feedback
Give value to tools and make your expertise visible

0 user reviews

0 user reviews

No review has been posted.

ProTraits forum

tutorial arrow
×
Communicate with other users
Participate in the forum to get support for using tools. Ask questions about technical specifications.

No open topic.

ProTraits classification

  • Archaebacteria
  • Eubacteria
    • Bacillus subtilis
    • Escherichia coli
    • Mycobacterium tuberculosis
    • Mycoplasma pneumoniae
    • Helicobacter pylori
    • Staphylococcus aureus

ProTraits specifications

Restrictions to use:
None
Community driven:
No
User data submission:
Not allowed
Database management system:
MySQL
Data access:
File download, Browse
Maintained:
Yes

ProTraits support

Maintainer

  • Anika Oellrich <>

Credits

tutorial arrow
×
Promote your skills
Define all the tasks you managed and assign your profile the appropriate badges. Become an active member.

Publications

Institution(s)

Division of Electronics, Ruder Boskovic Institute, Zagreb, Croatia; Mediterranean Institute of Life Sciences, Split, Croatia; EMBL/CRG Systems Biology Research Unit, Centre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain

Funding source(s)

This work was funded by the Croatian Science Foundation grants HRZZ-9623 (DescriptiveInduction) HRZZ- 5660 (MultiCaST), the European Union FP7 grants ICT-2013-612944 (MAESTRA), the REGPOT-2012-2013- 1-316289 (InnoMol), the Spanish Ministry of Economy and Competitiveness, ‘Centro de Excelencia Severo Ochoa 2013-2017’ (SEV-2012- 0208) and the FP7 project 4DCellFate (277899).

Link to literature

By using OMICtools you acknowledge that you have read and accepted the terms of the end user license agreement.