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Translation And Transcription Are Required For Endogenous Bursting After Long Term Removal Of Neuromodulators, Stefanie Eisenbach
Translation And Transcription Are Required For Endogenous Bursting After Long Term Removal Of Neuromodulators, Stefanie Eisenbach
Theses
Motor pattern-generating networks depend on neuromodulatory inputs to regulate the network activity. The pyloric network of the Cancer borealis stomatogastric ganglion (STG), a rhythmic motor pattern-generating network, requires modulatory inputs to generate this activity. When neuromodulatory inputs are removed, the pyloric network falls silent. However, patterned pyloric activity recovers spontaneously in about 24 hours in organ culture. To determine if synthesis of new proteins are involved in the recovery of pyloric activity after prolonged elimination of neuromodulators, translation inhibitors are tested on the recovery process of pyloric activity in C. borealis. In vitro experiments are conducted; the STG is …
Formation Of Branching Angles At Bifurcations Of Ant Trail Networks, Subash Kusum Ray
Formation Of Branching Angles At Bifurcations Of Ant Trail Networks, Subash Kusum Ray
Theses
Ants form dendritic trail networks around the nest to search for and exploit food sources located at the periphery of the network. Studies found these trail networks to be very efficient for the ants in terms of time and energy, which later was found stored in the bifurcation angle (θ) of the branches of these trail networks. It has been observed, that bifurcations are symmetrical when moving from the nest to the food source, while are asymmetrical when moving back towards the nest. The mean bifurcation angles have been found to be 50° - 80° for networks radiating out from …
Risk Prediction With Genomic Data, Bharati Jadhav
Risk Prediction With Genomic Data, Bharati Jadhav
Theses
Genome wide association study (GWAS) is widely used with various machine learning algorithms to predict disease risk. This thesis investigates this widely used approach of GWAS using Single Nucleotide Polymorphism (SNP) genotype data and a novel approach of disease risk prediction with whole exome sequencing data, namely Whole Exome Wide Association Study (WEWAS). It further applies a discriminating machine learning algorithm, namely a Support Vector Machine (SVM) with different Kernel functions. For this study, only SNPs generated using genotyping technology, which focuses more on common variants, are used initially for disease prediction. Later, the whole exome data generated using Next …
Comparison Of Different Differential Expression Analysis Tools For Rna-Seq Data, Junfei Zhu
Comparison Of Different Differential Expression Analysis Tools For Rna-Seq Data, Junfei Zhu
Theses
In molecular biology research, RNA-seq is a relatively new method for transcriptome profiling. It utilizes the next generation sequencing technology to provide huge amount information about the variety and abundance of RNA present in an organism of interest at a specific state and a given time. One of the most important tasks of RNA-seq analysis is finding genes that are expressed differently in different subject groups. A lot of differential expression analysis tools for RNA-seq have been developed, but there is no golden standard in this field. In this research, four commonly used tools (DESeq, edgeR, limma, and cuffdiff) are …