Comparison of three bioinformatics tools in the detection of ASD candidate variants from whole exome sequencing data

Comparison of three bioinformatics tools in the detection of ASD candidate variants from whole exome sequencing data

Abstract Autism spectrum disorder (ASD) is a heterogenous multifactorial neurodevelopmental condition with a significant genetic susceptibility component. Thus, identifying genetic variations associated with ASD is a complex task. Whole-exome sequencing (WES) is an effective approach for detecting e...

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Bibliographic Details
Main Authors: Apurba Shil, Liron Levin, Hava Golan, Gal Meiri, Analya Michaelovski, Yair Sadaka, Adi Aran, Ilan Dinstein, Idan Menashe
Format: Article
Language:English
Published: Nature Portfolio 2023-11-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-46258-x

Internet

https://doi.org/10.1038/s41598-023-46258-x

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