Sökning: "single-cell RNA-Seq"

Visar resultat 1 - 5 av 26 avhandlingar innehållade orden single-cell RNA-Seq.

  1. 1. Utilization of single-cell RNA-Seq and genome-scale modeling for investigating cancer metabolism

    Författare :Johan Gustafsson; Chalmers tekniska högskola; []
    Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; genome-scale metabolic modeling; cancer; metabolism; single-cell RNA-Seq;

    Sammanfattning : Cancer remains a leading cause of death worldwide, and its dysregulated metabolism is a promising target for therapy. However, metabolism is complex to study – the metabolism of a cell involves the interplay of thousands of chemical reactions that are combined in different ways across tissues and cell types. LÄS MER

  3. 2. Computational methods for analysis and visualization of spatially resolved transcriptomes

    Författare :Jose Fernandez Navarro; Joakim Lundeberg; Martin Hemberg; KTH; []
    Nyckelord :RNA; RNA-seq; single cell; scRNA-seq; transcriptomics; spatial transcriptomics; brain; 3D; Alzheimer’s disease; Bioteknologi; Biotechnology;

    Sammanfattning : Characterizing the expression level of genes (transcriptome) in cells and tis- sues is essential for understanding the biological processes of multicellular or- ganisms. RNA sequencing (RNA-seq) has gained traction in the last decade as a powerful tool that provides an accurate quantitative representation of the transcriptome in tissues. LÄS MER

  4. 3. Computational Single-Cell Genomics Methods for Cell State Estimation and their Application to Hematopoietic Systems

    Författare :Parashar Dhapola; Avdelningen för molekylär hematologi; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; Hematopoietic Stem Cell; Single-Cell; Genomics; Epigenomics; transcriptomics; bioinformatics;

    Sammanfattning : The focus of this doctoral dissertation was to develop novel and scalable computational genomics methods for analysing single-cell genomic modalities. Scarf, a highly memory-efficient single-cell data analysis toolkit, was developed to enable an analysis of very large-scale datasets on personal computers, and the execution of parallel workflows on server-scale computational systems. LÄS MER

  5. 4. Progression of RNA-sequencing to single-cell applications

    Författare :Daniel Ramsköld; Karolinska Institutet; Karolinska Institutet; []
    Nyckelord :;

    Sammanfattning : New methods enable new discoveries. My time as a PhD student has run in parallel with the maturation of the RNA-seq method, and I have used it to discover basic properties of gene expression and transcriptomes. My part has been bioinformatics – the computer analysis of biological data. LÄS MER

  7. 5. From single-cell transcriptomics to single-molecule counting

    Författare :Saiful Islam; Karolinska Institutet; Karolinska Institutet; []
    Nyckelord :;

    Sammanfattning : RNA-sequencing (RNA-seq) technology has been progressing so fast in the last few years and made it possible to perform transcriptome analysis at single-cell level that was even unimaginable a few years before. Nowadays, the importance of gene expression analysis at the single-cell level is increasingly appreciated for the study of complex heterogeneous tissue. LÄS MER