Sökning: "Rosetta"

Visar resultat 11 - 15 av 23 avhandlingar innehållade ordet Rosetta.

1. 11. Genome-wide structural and functional protein characterization by ab initio protein structure prediction

   Författare :Lars Malmström; Avdelningen för Biomedicinsk teknik; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Biomedicinska vetenskaper; Biomedical sciences; Saccharymyces cerevisiae; Ab initio protein structure prediction; Protein annotation;

   Sammanfattning : Very little is known about a considerable part of all proteins and it is time consuming and expensive to study each individual protein to determine its function, structure and cellular role. Proteins retain structural, functional and sequential characteristics from ancestral proteins and hence two proteins that share a common ancestor, i.e. LÄS MER

3. 12. Solar Wind Dynamics within The Atmosphere of comet 67P/Churyumov-Gerasimenko

   Författare :Etienne Behar; Hans Nilsson; Thomas E. Cravens; Luleå tekniska universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Rymdteknik; Space Technology;

   Sammanfattning : In this thesis, we explore the dynamics of the solar wind as it perme-ates and flows through a tenuous cometary atmosphere, with a focuson the interaction observed at comet 67P/Churyumov–Gerasimenko.Seven comets had already been visited by nine different probes when the European spacecraft Rosetta reached comet Churyumov–Gerasimenko in August 2014. LÄS MER

4. 13. Patterns in big data bioinformatics : Understanding complex diseases with interpretable machine learning

   Författare :Mateusz Garbulowski; Jan Komorowski; Ryan J. Urbanowicz; Uppsala universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; complex diseases; big data; machine learning; transcriptomics; life sciences; rough sets; Bioinformatics; Bioinformatik;

   Sammanfattning : Alterations in the flow of genetic information may lead to complex diseases. Such changes are measured with various omics techniques that usually produce the so-called “big data”. Using interpretable machine learning (ML), we retrieved patterns from transcriptomics data sets. LÄS MER

5. 14. Protein Model Quality Assessment : A Machine Learning Approach

   Författare :Karolis Uziela; Arne Elofsson; Liam McGuffin; Stockholms universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Protein Model Quality Assessment; structural bioinformatics; machine learning; deep learning; support vector machine; proq; Artificial Neural Network; protein structure prediction; Biochemistry towards Bioinformatics; biokemi med inriktning mot bioinformatik;

   Sammanfattning : Many protein structure prediction programs exist and they can efficiently generate a number of protein models of a varying quality. One of the problems is that it is difficult to know which model is the best one for a given target sequence. Selecting the best model is one of the major tasks of Model Quality Assessment Programs (MQAPs). LÄS MER

7. 15. Proteome wide protein production

   Författare :Hanna Tegel; Sophia Hober; Diethard Mattanovich; KTH; []
   Nyckelord :protein production; Escherichia coli; transcription; promoter; translation; rare codon; high-throughput; screening;

   Sammanfattning : Over a decade after the completion of the human genome, researchers around the world are still wondering what information is hidden in the genome. Although the sequences of all human genes are known, it is still almost impossible to determine much more than the primary protein structure from the coding sequence of a gene. LÄS MER