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Full-Text Articles in Genetics and Genomics
G-Onramp: Create Genome Browsers That Enable Undergraduate Students To Participate In Collaborative Genome Annotations, Wilson Leung, Yating Liu, Luke Sargent, Jeremy Goecks, Sarah C.R. Elgin
G-Onramp: Create Genome Browsers That Enable Undergraduate Students To Participate In Collaborative Genome Annotations, Wilson Leung, Yating Liu, Luke Sargent, Jeremy Goecks, Sarah C.R. Elgin
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Chromosome Conformation In Context, James Taylor
Chromosome Conformation In Context, James Taylor
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
A Systems Level Approach To Temporal Expression Dynamics In Drosophila Reveals Clusters Of Long Term Memory Genes, Julianna Bozler, Balint Kacsoh, Giovanni Bosco
A Systems Level Approach To Temporal Expression Dynamics In Drosophila Reveals Clusters Of Long Term Memory Genes, Julianna Bozler, Balint Kacsoh, Giovanni Bosco
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Cage: A Tool For Identifying Genes With Correlated Spatiotemporal Expression, Basheer Becerra
Cage: A Tool For Identifying Genes With Correlated Spatiotemporal Expression, Basheer Becerra
Annual Symposium on Biomathematics and Ecology Education and Research
No abstract provided.
Software Development For Genome Sequence Analysis, David Farr
Software Development For Genome Sequence Analysis, David Farr
Symposium Of University Research and Creative Expression (SOURCE)
The cost of genome sequencing has decreased rapidly, expanding availability for many biological applications (Muir 2016). For example, researchers can now obtain genome sequences from multiple populations under different types of selection. Comparison of these sequences allows for identification of chromosome regions and specific genes associated with adaptive evolution (Kelly 2013). As an increasing number of researchers engage in this type of inquiry, many have created in-house computer scripts to analyze the raw sequence data (e.g., Kelly 2013), creating a gap in both continuity and standardization.
Using a test dataset and preliminary results from an ongoing artificial selection experiment in …
P08. Unravelling Organelle Genome Evolution Architecture Using Rna-Sequencing Data, Matheus Sanita Lima, David Roy Smith
P08. Unravelling Organelle Genome Evolution Architecture Using Rna-Sequencing Data, Matheus Sanita Lima, David Roy Smith
Western Research Forum
Background: Mitochondria genomes vary from 11 Mb to 6 kb, while plastids can vary from 1 Mb to 30 kb. Non-coding DNA accounts for most of this size variation, but the mechanistic and evolutionary reasons for that are still unknown. Next generation sequencing has generated unprecedented amounts of genomic and transcriptomic data that can be used for organelle genome evolution studies. However, most of these data is used only for the study of cell nucleus. Therefore, I decided to use these untapped data source to investigate the transcription of organelle genomes in plastid-bearing protists.
Methods: I mapped the transcriptomes over …