Sökning: "RNA-seq"

Visar resultat 1 - 5 av 33 uppsatser innehållade ordet RNA-seq.

  1. 1. EVALUATING TRANSCRIPTOME ASSEMBLY POTENTIAL BY DIFFERENT DE NOVO SEQUENCE ASSEMBLER TYPES

    Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskap

    Författare :Luan Gardenalli; [2023]
    Nyckelord :;

    Sammanfattning : With the rise of NGS technologies, the transcriptomes of non-model organisms can be reconstructed even with the absence of a reference genome, using de novo assembly tools. There is a wide range of de novo assembly tools frequently being developed, however, there is a still a knowledge gap about the different effects and efficiency of different de novo assembly software types for RNA-seq assembly. LÄS MER

  2. 2. Pseudomonas aeruginosa gene expression analysis using pangenome and PAO1 reference genomes

    Master-uppsats, Lunds universitet/Examensarbeten i bioinformatik

    Författare :Yi Su; [2023]
    Nyckelord :Biology and Life Sciences;

    Sammanfattning : Development in sequencing technologies has made the analyses of genetic material much more accessible. Processing sequenced data for an accurate analysis comes with its challenges, especially with the studies in microbial in clinical in vivo samples where difficulties in the collection of these samples for sequencing could lower the quality and contamination from the human host which might affect the accuracy of downstream analysis. LÄS MER

  3. 3. Inferring Gene regulatory networks using Graph Neural Networks

    Master-uppsats, KTH/Genteknologi

    Författare :Sohta Makino; [2023]
    Nyckelord :Graph Attention Network; Gene regulatory Network; Transcription; Data Science; Machine learning; Genreglering; transkription; dataanalys; Inferens; maskininlärning;

    Sammanfattning : Inom beräkningsbiologin är det snabbt på väg att bli allt vanligare att ta fram genetiska regleringsnätverk (GRN). På grund av storleken på de undersökta nätverken använder många forskare maskininlärning för att härleda GRN från genuttrycksdata, vanligtvis från RNA-seq. LÄS MER

  4. 4. Predicting Biomarkers/ Candidate Genes involved in iALL, using Rough Sets based Interpretable Machine Learning Model.

    Master-uppsats, Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Girish Pulinkala; [2023]
    Nyckelord :Machine Learning; Cancer; Oncology; Acute Lymphoblastic Leukemia; Rough sets; Pathway analysis; Feature selection; Bioinformatics; Computational Biology.;

    Sammanfattning : Acute lymphoblastic leukemia is a hematological malignancy that gains a proliferative advantage and originates in the bone marrow. One of the more common genetic alterations in ALL is KMT2A-rearrangement which constitutes 80% of the cases of ALL in infants. LÄS MER

  5. 5. Dual RNA-seq analysis of gene co-expression and immune response mechanisms in chickens infected by Eimeria tenella

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för biologisk grundutbildning

    Författare :Alma Hansen; [2023]
    Nyckelord :RNA-seq; Eimeria; bioinformatics; gene co-expression;

    Sammanfattning : Coccidiosis caused by Eimeria parasites is a worldwide problem, affecting chickens and leading to great losses in the poultry industry. Current vaccines are costly and non-optimal, and the parasite has developed resistance to the anticoccidials in use. LÄS MER