Robotics & Machine Learning Daily News2024,Issue(Feb.7) :153-154.

SLEDGe: Inference of ancient whole genome duplications using machine learning

Robotics & Machine Learning Daily News2024,Issue(Feb.7) :153-154.

SLEDGe: Inference of ancient whole genome duplications using machine learning

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Abstract

According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from biorxiv.org: “Ancient whole-genome duplication–previous genome duplication events that have since been eroded via diploidization, are increasingly identified throughout eukaryotes. One of the constraints against large-scale studies of ancient eukaryotic WGD is the relatively large, high-quality datasets often needed to definitively establish ancient WGD events; alternatively, the more low-input method interpretation of genome-wide synonymous substitution rates (Ks plots) is prone to bias and inconsistency. We improve upon the shortcomings of the current Ks plot method by building a Ks plot simulator. “This data-agnostic approach simulates common distributions found in Ks plots in the presence or absence of ancient WGD signatures. “In conjunction with a machine-learning classifier, this approach can quickly assess the likelihood that transcriptomic and genomic data bear WGD signatures. On independently-generated synthetic data and real plant transcriptomic data, SLEDGE is capable of correctly identifying ancient WGD in 93-100% of samples.

Key words

Bioinformatics/Biotechnology/Biotechnology - Bioinformatics/Cyborgs/Emerging Technologies/Genetics/Information Technology/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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