Job ID: 5890
Job date: 2018-01-23
End Date:
Company : Stockholm Bioinformatics Centre Country : Role : Student
Job date: 2018-01-23
End Date:
Company : Stockholm Bioinformatics Centre Country : Role : Student
Job Description:
The function of a protein is very challenging to establish experimentally. A faster route is to predict the function based on the amino acid sequence. This project will employ several approaches that use sequence features to this end. The main goal is to develop computational tools for studying domain architecture evolution and its relation to function and orthology. The project includes both development of new algorithms and methods, as well as applications such as tools and workbenches to enable public access for database queries of Pfam, InParanoid, and Hieranoid. The methods include hidden Markov models, clustering methods, various statistical analyses, and own developed algorithms. The project involves programming, data analysis, benchmarking, as well as application of the developed methods to genes of particular interest in order to discover new protein functions. Qualifications: Only European citizens are eligible. The successful candidate should have an M.Sc. in bioinformatics or related field, and knowledge of molecular biology. Alternatively, an M.Sc. in molecular biology or related field and at least 1 year of practical experience in bioinformatics research. Familiarity with sequence analysis techniques is essential, as well as a high level of motivation. Computer programming (e.g. Perl, Python, R, C++, Java), UNIX skills, and knowledge of biological database systems are necessary merits.
Additional Info:
Start date: As soon as possible How to Apply: Send your CV, a cover letter, and the email address of 2 references to Erik.Sonnhammer@scilifelab.se Contact: Erik Sonnhammer Erik.Sonnhammer@scilifelab.se[Click Here to Access the Original Job Post]
The function of a protein is very challenging to establish experimentally. A faster route is to predict the function based on the amino acid sequence. This project will employ several approaches that use sequence features to this end. The main goal is to develop computational tools for studying domain architecture evolution and its relation to function and orthology. The project includes both development of new algorithms and methods, as well as applications such as tools and workbenches to enable public access for database queries of Pfam, InParanoid, and Hieranoid. The methods include hidden Markov models, clustering methods, various statistical analyses, and own developed algorithms. The project involves programming, data analysis, benchmarking, as well as application of the developed methods to genes of particular interest in order to discover new protein functions. Qualifications: Only European citizens are eligible. The successful candidate should have an M.Sc. in bioinformatics or related field, and knowledge of molecular biology. Alternatively, an M.Sc. in molecular biology or related field and at least 1 year of practical experience in bioinformatics research. Familiarity with sequence analysis techniques is essential, as well as a high level of motivation. Computer programming (e.g. Perl, Python, R, C++, Java), UNIX skills, and knowledge of biological database systems are necessary merits.
Requeriments :
Skills :
- Bioinformatics
- Lunix/Unix
- molecular biology
- Programing in C++
- Programing in Python
- Programing Skills
- Programming in Java
- Programming in PERL
- Programming in R
Areas :
Additional Info:
Start date: As soon as possible How to Apply: Send your CV, a cover letter, and the email address of 2 references to Erik.Sonnhammer@scilifelab.se Contact: Erik Sonnhammer Erik.Sonnhammer@scilifelab.se[Click Here to Access the Original Job Post]