Haku
Viitteet 1-9 / 9
Bacillus Calmette Guérin and Infection Biomarkers In Mycobacterium marinum-infected Zebrafish
(2014)
Pro gradu -tutkielma
Pro gradu -tutkielma
Development of a tool for copy number analysis of cancer genomes using high throughput sequencing data
(2015)
Pro gradu -tutkielma
Pro gradu -tutkielma
Genomic copy number alterations (CNA) and loss of heterozygozity (LOH) are two types of genomic instabilities associated with cancer. Acquisition of these genomic instabilities affects the expression level of oncogenes and ...
Finding SNP-markers applicable for B.rapa genotyping using high-throughput sequencing data
(2015)
Pro gradu -tutkielma
Pro gradu -tutkielma
Dual codon usage in germline variants of prostate cancer genomes
(2015)
Pro gradu -tutkielma
Pro gradu -tutkielma
This thesis work builds on the recent discovery by Stergachis and his colleagues, which describes the process the genome uses to write genetic code. This work extends the previous vision in genome research, which states, ...
Development of CAbase and an Exon Analysis Pipeline for Visual Assessment of Predicted Genes for the Carbonic Anhydrases
(2016)
Pro gradu -tutkielma
Pro gradu -tutkielma
Background and Aims
Humans are able to quickly recognize and evaluate visual patterns, thus this thesis aims to apply this feature to the analysis of aspects of the conservation of carbonic anhydrase proteins. This was ...
Homology modeling and docking study of Danio rerio Carbonic Anhydrase VI - Pentraxin protein and bioinformatics analysis of extra-cellular CAs
(2015)
Pro gradu -tutkielma
Pro gradu -tutkielma
Background and Aims
Computational prediction and protein structure modeling are the marvelous inventions of computer sciences that have come to the rescue of various biological problems. The technology has revolutionized ...
Computational functional prediction of novel long noncoding RNA in TCGA Glioblastoma multiforme sample
(2016)
Pro gradu -tutkielma
Pro gradu -tutkielma
According to international human genome sequencing consortium 2004[43], it was known that only less than 2% of the total human genome code for proteins. This ignited quite a surprise in the scientific community. Since then, ...