Sökning: "non-coding mutations"

Visar resultat 1 - 5 av 6 uppsatser innehållade orden non-coding mutations.

  1. 1. Investigations of miR-34a structure and dynamics by SHAPE MaP and optimal time between transfection and modification by qPCR

    Master-uppsats, KTH/Proteinvetenskap

    Författare :Ellinor Lindén; [2023]
    Nyckelord :SHAPE MaP; qPCR; miRNA; HNF4α; mRNA-34a; SHAPE MaP; qPCR; miRNA; HNF4α; mRNA-34a;

    Sammanfattning : microRNA (miRNA) är korta icke-kodande RNA sekvenser som har fått ökande uppmärksamhet då de kan binda till mRNA och styra vårt genuttryck. Omkring trettio procent av våra proteinkodande gener styrs av miRNA. miRNA binder till mRNA vilket hindrar dess translation eller leder till nedbrytning av mRNA. LÄS MER

  3. 2. Identification of de novo Transcription Factor Binding Motifs Created by Cancer-related Mutations

    Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Siqi Li; [2022]
    Nyckelord :transcription factor binding motifs; funMotifs; PCAWG; mutations; de novo motifs;

    Sammanfattning : In many countries, cancer is one of the biggest threats for citizens’ health, especially among aged people. Genomic mutations play a crucial role in cancer cell development. In previous decades, cancer research has been mainly focused on mutations in coding regions. LÄS MER

  4. 3. Exploring DeepSEA CNN and DNABERT for Regulatory Feature Prediction of Non-coding DNA

    Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Jacob Stachowicz; [2021]
    Nyckelord :Machine Learning; Computer Science; Bioinformatics; Genomics; Transformer; Natural Language Processing; Whole Genome Sequencing; Non-codingDNA; DeepSEA; CNN; DNABert; BERT; DanQ; Biomedical Science; Computational Biology; AuROC; AUPRC; Maskininlärning; Datavetenskap; Bioinformatik; Genomik; Transformer; Språkteknologi; Helgenomsekvensering; icke-kod DNA; DeepSEA; CNN; DNABert; BERT; DanQ; Biomedicinsk vetenskap; Beräkningsbiologi; AuROC; AUPRC;

    Sammanfattning : Prediction and understanding of the regulatory effects of non-coding DNA is an extensive research area in genomics. Convolutional neural networks have been used with success in the past to predict regulatory features, making chromatin feature predictions based solely on non-coding DNA sequences. LÄS MER

  5. 4. Non-coding constraint mutations impact the gene regulatory system in osteosarcoma

    Master-uppsats, Uppsala universitet/Institutionen för medicinsk biokemi och mikrobiologi; Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Raphaela Pensch; [2021]
    Nyckelord :cancer; osteosarcoma; cancer genomics; evolutionary constraint; non-coding mutations; gene regulation;

    Sammanfattning : The non-coding space makes up around 98 % of the genome, but cancer-driving mutations have so far mostly been discovered in protein-coding regions. The majority of somatic non-coding mutations are neutral passenger mutations and identifying non-coding mutations with driving roles in cancer poses a challenge. LÄS MER

  7. 5. Linking the dynamics of genetic algorithms to the encoding of information

    Kandidat-uppsats, Lunds universitet/Beräkningsbiologi och biologisk fysik - Genomgår omorganisation; Lunds universitet/Institutionen för astronomi och teoretisk fysik - Genomgår omorganisation

    Författare :Henrik Åhl; [2016]
    Nyckelord :Genetic algorithms; evolution; dynamics; encoding; encoding of information; genetic; string; binary; gray code; consensus; algorithm; optimisation; genotype; phenotype; genome; evolutionary algorithms; fitness; search space; Physics and Astronomy;

    Sammanfattning : Genetic algorithms are complex constructs often used as heuristic search methods in contexts ranging from combinatorial optimisation to in silico evolution. They draw inspiration from the principles of biological evolution by utilizing the concepts of mutation, reproduction and selection in order to improve a population of solutions. LÄS MER