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Computational Biology Commons™

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2026

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Articles 31 - 33 of 33

Full-Text Articles in Computational Biology

Data From: Complete Mitochondrial Genomes Of The Spring Pygmy Sunfish (Elassoma Alabamae), Kayla M. Fast, David Lee Pounders, Mayah P. Peterson, Michael W. Sandel Jan 2026

Data From: Complete Mitochondrial Genomes Of The Spring Pygmy Sunfish (Elassoma Alabamae), Kayla M. Fast, David Lee Pounders, Mayah P. Peterson, Michael W. Sandel

Research Data

The Spring Pygmy Sunfish, Elassoma alabamae (Mayden, 1993), is a small species of sunfish (Centrarchiformes) endemic to tributaries to the middle Tennessee River in north Alabama. Elassoma alabamae is the most geographically restricted member of Elassoma and the only species found above the fall line. This species was twice considered extinct and was listed under the Endangered Species Act (ESA) as threatened in 2013. To date, surveys for this species have been limited to traditional invasive methods using dipnets and seines. In order to reduce impacts on sensitive populations, we sequenced the mitochondrial genome with the intent of developing a …

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Identifying Rna Splicing Changes During Alcohol Withdrawal Using An Optimized Rna-Seq Analysis Pipeline, Yasaswi Veera, Luana Martins De Carvalho, Amy Lasek Jan 2026

Identifying Rna Splicing Changes During Alcohol Withdrawal Using An Optimized Rna-Seq Analysis Pipeline, Yasaswi Veera, Luana Martins De Carvalho, Amy Lasek

Undergraduate Research Posters

Alcohol use disorder (AUD) causes long-lasting changes in brain gene expression and RNA splicing, particularly in the ventral hippocampus. This study analyzes RNA-Seq data from rats exposed to chronic alcohol and withdrawal to identify transcript-level and splicing alterations. An optimized RNA-Seq pipeline using STAR, FeatureCounts, edgeR, and WGCNA improved efficiency by 25-40% while maintaining consistency across 25 datasets. Results reveal changes in neural signaling and stress-response pathways associated with withdrawal. This work provides both biological insight into AUD and a reproducible computational framework for transcriptomic analysis.

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Recurrence And Co-Occurrence Of Enhancer-Promoter Interactions Across Human Samples, Satvik Gunjala Jan 2026

Recurrence And Co-Occurrence Of Enhancer-Promoter Interactions Across Human Samples, Satvik Gunjala

Honors Undergraduate Theses

Experimental mapping of enhancer-promoter interactions (EPIs) is resource-intensive, and current computational prediction methods struggle with intrinsic genomic complexity and reliance on limited training data. To address this bottleneck and provide insights for improved computational methods, this study systematically analyzed chromatin contact datasets to investigate the recurrence and co-occurrence of enhancer-promoter interactions across human samples. Putative interactions were evaluated across two HiChIP datasets comprising 218 total samples and one Hi-C dataset comprising 266 samples to assess recurrence across samples and assess sequencing depth related to unique EPIs. Additionally, a preliminary item-based collaborative filtering recommender model was developed to assess co-occurrence patterns …

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