Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 859 for “"RNA sequencing"”.
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RNA sequencing for the study of splicing
… the many processes that shape the final set of RNA molecules present in eukaryote cells, splicing emerges as the most prominent mechanism for message diversification. In recent years, applications of high throughput sequencing to RNA, known as RNA sequencing, have opened new avenues for the …
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Quantifying expression variability in single-cell RNA sequencing data
… been reported. The development of single-cell RNA sequencing technologies introduced powerful tools to investigate transcriptional differences between individual cells, therefore allowing the in-depth characterisation of expression variability. In this thesis, I computationally analysed …
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Studying early development using droplet single-cell RNA sequencing
… in these systems. Recently developed single-cell RNA-sequencing technologies offer a powerful tool for studying de- velopment. They generate a rich phenotypic readout of a cell’s state, providing gene-level information about what cells are doing, and allowing reconstruction of the molecular bases …
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RNA sequencing for the study of gene expression regulation
… is known as gene expression. In recent years, sequencing of RNA (RNA-seq) has emerged as the preferred technology for the simultaneous measurement of transcript sequences and their abundance. The analysis of RNA-seq data presents novel challenges and many methods have been developed for the …
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Rna-Sequencing Applications: Gene Expression Quantification and Methylator Phenotype Identification
<p>My dissertation focuses on two aspects of RNA sequencing technology. The first is the methodology for modeling the overdispersion inherent in RNA-seq data for differential expression analysis. This aspect is addressed in three sections. The second aspect is the application of RNA-seq data to …
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PARSES: A Pipeline for Analysis of RNA-Sequencing Exogenous Sequences
RNA-Sequencing (RNA-Seq) has become one of the most widely used techniques to interrogate the transcriptome of an organism since the advent of next generation sequencing technologies [1]. A plethora of tools have been developed to analyze and visualize the transcriptome data from RNA-Seq …
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Assembling improved gene annotations in Clostridium acetobutylicum with RNA sequencing
… by integrating bioinformatic predictions with RNA sequencing(RNA-seq) data. Samples were acquired under butanol, butyrate, and unstressed treatments across various growth stages to sample the transcriptome from a range of physiologically relevant conditions. Analysis of an initial assembly …
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RNA SEQUENCING ANALISIS OF PERIIMPLANT TISSUES: A SPLIT MOUTH STUDY
L'abstract è presente nell'allegato / the abstract is in the attachment
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Alternative splicing and single-cell RNA-sequencing: a feasibility assessment
… for most spliced genes. In theory, single-cell RNA-sequencing (scRNA-seq) could enable us to investigate isoform choice at cellular resolution. Therefore, scRNA-seq could give insight into the fundamental molecular biology process of how alternative splicing is regulated within cells. However, …
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Methods for Dissecting High Dimensional Single Cell RNA Sequencing Data
… first being described in 2009 [ 1], single cell RNA sequencing (scRNA-seq) has rapidly advanced into a staple for interrogating cellular identity in heterogeneous populations. Researchers routinely capture transcriptome-wide snapshots of thousands or even millions of individual cells. From these …
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Using RNA sequencing to identify transcriptomic differences in the renal pelvis
… in this thesis we optimized cell and tissue RNA isolation methods to obtain higher yields and high-quality RNA for our studies. We use a combination of transcriptomic approaches including bulk and single-cell RNA sequencing to reveal gene expression in multiple renal pelvis cell types, …
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Novel Techniques for Single-cell RNA Sequencing Data Imputation and Clustering
… one of the major challenges in analyzing scRNA-seq data is the prevalence of dropouts, which are instances where gene expression is not detected despite being present in the cell. Dropouts occur due to technical limitations and can introduce excessive noise into the data, obscuring the true …
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Identifying biological pathomechanisms of TTN-affected myopathies using RNA-Sequencing data
… understanding genotype-phenotype corelations. RNA-sequencing emerges as a valuable technique for analysing transcriptomic data and exploring gene expression profiles of patient and control samples. To elucidate common pathomechanisms in titinopathies, including adult tibial muscular dystrophy …
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Delineating metastasis in MSS colorectal cancer by single - cell RNA sequencing
… metastases. In this study, we used single-cell RNA transcriptome sequencing to characterize the cellular and molecular features of primary CRC and colorectal liver metastases (CRLM). Analysis of 130 samples revealed significant heterogeneity in the tumor microenvironment (TME) characterized by a …
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The design and statistical analysis of single-cell RNA-sequencing experiments
<p>Next-generation DNA- and RNA-sequencing (RNA-seq) technologies have expanded rapidly in both throughput and accuracy within the last decade. The momentum continues as emerging techniques become increasingly capable of profiling molecular content at the level of individual cells. One goal of this …
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Quality checking and expression analysis of high-throughput small RNA sequencing data
The advent of high-throughput RNA sequencing (RNA-seq) methods have made it possible to sequence transcriptomes for the cell-wide identi�cation of small non-coding RNAs (sRNAs) and to assess their regulation using di�erential expression analysis by comparing two or more di�erent conditions. During …
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Single Cell RNA Sequencing Data Analysis and Applications in Caenorhabditis Elegans Embryo Development
Single cell RNA sequencing (hereinafter “scRNA-seq”) has become a routine assay in molecular biological research, allowing in-depth assessments of individual cell transcriptome. Here, we used scRNA-seq datasets to study the global cellular communications in the Caenorhabditis elegans (hereinafter …
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The Application and Challenges of RNA-Sequencing to the Study of Circadian Rhythms
… or dawn. Almost all organisms possess an internal time-keeper, as it represents an adaptation to one of the most ancient selective pressures; the day-night cycle. Mounting evidence suggests the clock plays important roles in critical metabolic and signalling pathways, the sleep/wake cycle, …
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Evaluation and annotation of Bemisia tabaci transcriptome data using paired-end RNA sequencing
Bemisia tabaci (B. tabaci), a major crop pest of important food security crops, transmits more than 100 plant viruses. Despite its global importance as one of the world’s top 100 invasive species, limited genomic resources are available in public domains. In this study, transcriptomic datasets from …
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Deciphering Leukaemogenic Mechanisms through System-Scale Analysis of Single-Cell RNA Sequencing Data
… recent technological advancements in single-cell sequencing have made it possible to study the transcriptional effects of leukaemic perturbations at the scale of individual haematopoietic stem and progenitor cells. However, the mechanisms through which specific perturbations lead to dysregulation …
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