Search for dissertations about: "single-cell RNA-seq"
Showing result 1 - 5 of 26 swedish dissertations containing the words single-cell RNA-seq.
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1. Utilization of single-cell RNA-Seq and genome-scale modeling for investigating cancer metabolism
Abstract : 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. READ MORE
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2. Computational methods for analysis and visualization of spatially resolved transcriptomes
Abstract : 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. READ MORE
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3. Computational Single-Cell Genomics Methods for Cell State Estimation and their Application to Hematopoietic Systems
Abstract : 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. READ MORE
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4. Progression of RNA-sequencing to single-cell applications
Abstract : 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. READ MORE
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5. From single-cell transcriptomics to single-molecule counting
Abstract : 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. READ MORE