首页|Machine learning-optimized targeted detection of alternative splicing
Machine learning-optimized targeted detection of alternative splicing
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-According to news reporting based on a preprint abstract, our journalists obtained the following quote sourced from bi orxiv.org: "RNA-sequencing (RNA-seq) is widely adopted for transcriptome analysis but has i nherent biases which hinder the comprehensive detection and quantification of al ternative splicing. "To address this, we present an efficient targeted RNA-seq method that greatly e nriches for splicinginformative junction-spanning reads. Local Splicing Variati on sequencing (LSV-seq) utilizes multiplexed reverse transcription from highly s calable pools of primers anchored near splicing events of interest. Primers are designed using Optimal Prime, a novel machine learning algorithm trained on the performance of thousands of primer sequences.
NETL
NSTL
