| Language: | Slovenian |
|---|---|
| Year of publishing: | 2014 |
| Typology: | 2.11 - Undergraduate Thesis |
| Organization: | UL FRI - Faculty of Computer and Information Science |
| Publisher: | [M. Spasić] |
| UDC: | 004.4:577.2(043.2) |
| COBISS: |
1536122307
|
| Views: | 97 |
| Downloads: | 10 |
| Average score: | 0 (0 votes) |
| Metadata: |
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| Secondary language: | English |
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| Secondary title: | Algorithm for detecting components of ribonucleoprotein complexes |
| Secondary abstract: | Proteins play an important role in many processes in a cell. Protein-RNA interactions greatly affect the balancing of gene expressions and consequently their functions. Interaction with RNA may occur with a single protein or a protein complex. iCLIP method is able to detect the protein-RNA crosslink spots with nucleotide resolution. We developed a method that takes a set of crosslink spots that intersect with the choosen protein complex as an input. Method is searching the crosslink spots neighbourhood for the protein-RNA interaction patterns. Found patterns include parts (proteins) of the choosen complex and other proteins that are not a part of the choosen complex, but still affect the interactions of the choosen complex with the RNA. Method that we developed is based on the non-negative matrix factorization. We successfully tested the method on a SmB complex where we found a few proteins that cooporate with SmB complex. |
| Secondary keywords: | protein-RNA interactions;nonnegative matrix factorization;iCLIP;protein complexes;computer science;computer and information science;diploma; |
| File type: | application/pdf |
| Type (COBISS): | Bachelor thesis/paper |
| Study programme: | 1000468 |
| Thesis comment: | Univ. v Ljubljani, Fak. za računalništvo in informatiko |
| Pages: | 50 str. |
| ID: | 8739387 |