Filtering by Subject: Computational Biology
Published: 2021-09-28
Subjects: Animal Sciences, Computational Biology, Ecology and Evolutionary Biology, Evolution, Genetics, Genetics and Genomics, Life Sciences, Other Ecology and Evolutionary Biology, Population Biology
Predicting how populations respond to selection is a key goal of evolutionary biology. The field of quantitative genetics provides predictions for the response to directional selection through the breeder’s equation. However, differences between the observed responses to selection and those predicted by the breeder’s equation occur. The sources of these errors include omission of traits under [...]
Published: 2021-06-01
Subjects: Bioinformatics, Computational Biology, Ecology and Evolutionary Biology, Environmental Microbiology and Microbial Ecology Life Sciences, Evolution, Genetics and Genomics, Life Sciences, Microbiology, Population Biology, Systems Biology
Microorganisms display a stunning metabolic diversity. Understanding the origin of this diversity requires understanding how macroevolutionary processes such as innovation and diversification play out in the microbial world. Metabolic networks, which govern microbial resource use, can evolve through different mechanisms, e.g. horizontal gene transfer or de novo evolution of enzymes and pathways. [...]
Published: 2021-04-28
Subjects: Bioinformatics, Computational Biology, Genetics and Genomics, Life Sciences
A long-standing problem in environmental DNA has been the inability to compute across large number of datasets. Here we introduce an open-source software framework that can store a large number of environmental DNA datasets, as well as provide a platform for analysis, in an easily customizable way. We show the utility of such an approach by analyzing over 1400 arthropod metabarcode datasets. This [...]
Published: 2020-08-31
Subjects: Bioinformatics, Computational Biology, Genetics and Genomics, Genomics, Life Sciences
The restriction site-associated DNA (RADseq) family of protocols involves digesting DNA and sequencing the region flanking the cut site, thus providing a cost and time efficient way for obtaining thousands of genomic markers. However, when working with non-model taxa with few genomic resources, optimization of RADseq wet-lab and bioinformatic tools may be challenging, often resulting in allele [...]