Sökning: "single-cell genomics"
Visar resultat 1 - 5 av 24 avhandlingar innehållade orden single-cell genomics.
1. Computational Single-Cell Genomics Methods for Cell State Estimation and their Application to Hematopoietic Systems
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
2. Variational methods for phylogeny and single-cell genomics
Sammanfattning : The investigation of the evolutionary history of organisms, both at the cellular level and at the species level, is a relevant research topic in computational biology. These investigations lead to a deeper understanding of developmental history, cancer progression, the genetic similarity of species, and more. LÄS MER
3. Microbial Metagenomics : A Tale of the Dead and the Living
Sammanfattning : It is a microbial world we live in: microbes outnumber other organisms by several orders of magnitude, and they have great importance for the environment. However, environmental microbes are notoriously difficult to grow in the laboratory, and using culture independent techniques is necessary to expand our view. LÄS MER
4. Exploring human variations by droplet barcoding
Sammanfattning : Biological variations are being explored at ever-increasing rates through the rapid advancement of analytical techniques. Techniques like massively parallel sequencing empower scientists to accurately differentiate individuals’ genetic compositions, cellular functionalities, and healthy tissue from diseased. LÄS MER
5. Into the Single-Verse : Subtle gene expression differences between virtually identical single cells are informative of gene regulation
Sammanfattning : The ability to profile transcriptomes and proteomes in a high-throughput fashion in single cells has truly revolutionized functional genomics, and countless functional and regulatory insights have been based on these technologies. While major applications include the discovery of new cell types and the a posteriori sorting of cell populations, studies of gene expression noise and gene co-expression have made use of this inter-cellular heterogeneity in a genuine quantitative fashion. LÄS MER