Inferring population genetics parameters of evolving viruses using time-series data
نویسندگان
چکیده
منابع مشابه
Indexing and Querying Constantly Evolving Data Using Time Series Analysis
This paper introduces a new approach for efficiently indexing and querying constantly evolving data. Traditional data index structures suffer from frequent updating cost and result in unsatisfactory performance when data changes constantly. Existing approaches try to reduce index updating cost by using a simple linear or recursive function to define the data evolution, however, in many applicat...
متن کاملUsing Classical Population Genetics Tools with Heterochroneous Data: Time Matters!
BACKGROUND New polymorphism datasets from heterochroneous data have arisen thanks to recent advances in experimental and microbial molecular evolution, and the sequencing of ancient DNA (aDNA). However, classical tools for population genetics analyses do not take into account heterochrony between subsets, despite potential bias on neutrality and population structure tests. Here, we characterize...
متن کاملInferring population parameters from single-feature polymorphism data.
This article is concerned with a statistical modeling procedure to call single-feature polymorphisms from microarray experiments. We use this new type of polymorphism data to estimate the mutation and recombination parameters in a population. The mutation parameter can be estimated via the number of single-feature polymorphisms called in the sample. For the recombination parameter, a two-featur...
متن کاملInferring population histories using cultural data.
The question as to whether cultures evolve in a manner analogous to that of genetic evolution can be addressed by attempting to reconstruct population histories using cultural data. As others have argued, this can only succeed if cultures are isolated enough to maintain and pass on a central core of traditions that can be modified over time. In this study we used a set of cultural data (canoe d...
متن کاملInferring phage–bacteria infection networks from time-series data
In communities with bacterial viruses (phage) and bacteria, the phage-bacteria infection network establishes which virus types infect which host types. The structure of the infection network is a key element in understanding community dynamics. Yet, this infection network is often difficult to ascertain. Introduced over 60 years ago, the plaque assay remains the gold standard for establishing w...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Virus Evolution
سال: 2019
ISSN: 2057-1577
DOI: 10.1093/ve/vez011