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STDP between a Pair of Recurrently Connected Neurons with Asynchronous and Synchronous Stimulation.
KTH, School of Computer Science and Communication (CSC).
2012 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

High throughput sequencing methods allow for fast, cheap and reliable interpretation of millions of nucleic acid sequences. However, given the heterogeneity of different cells, averaging of expression information is not sufficient for explaining the underlying mechanisms. An mRNA capture method has been developed that provides expression profiles at single cell resolution in a tissue section, while preserving the spatial information of cells across the tissue. In this thesis, a pipeline is presented which processes single cell expression profile and tissue architecture to provide a comprehensive analysis framework for this new sequencing approach. Bioinformatics challenges presented by this new data type are tackled, with a focus on alignment strategies, transcript annotation, spatial reconstruction, visualization and transcription analysis.

Place, publisher, year, edition, pages
Trita-CSC-E, ISSN 1653-5715 ; 2012:061
National Category
Computer Science
URN: urn:nbn:se:kth:diva-130930OAI: diva2:654376
Educational program
Master of Science - Computational and Systems Biology
Available from: 2013-10-07 Created: 2013-10-07

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