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DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
Book_7_《机器学习》 | 鸢尾花书:从加减乘除到机器学习;欢迎批评指正
🚀 基于大语言模型和 RAG 的知识库问答系统。开箱即用、模型中立、灵活编排,支持快速嵌入到第三方业务系统。
Code for the calculation and implementation of the PC Based epigenetic clocks
Ultima scripts related to downstream processing of WGS, MRD, methylation analysis
Code to implement the DunedinPACE scoring algorithm in Illumina 450k or EPIC array data
Code used in Belsky et al. 2020 eLife "Quantification of the pace of biological aging in humans through a blood test: The DunedinPoAm DNA methylation algorithm"
R package to implement DunedinPoAm38 in Illumina EPIC and 450k array data
This program analyzes methylation levels at six CpG sites in the genome of blood cells to produce a prediction of an individual's biological age, using different machine learning and deep learning …
This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.
A Mendelian approach to variant effect prediction built in keras
A new tool to infer sex from massively parallel sequencing data.
Documentation archive for GATK tools and workflows
The Sentieon Pipeline with Brady's updates and more information on using it for the first time
Example datasets for CNVkit (http://github.com/etal/cnvkit)
整理常用的群体遗传学分析流程和脚本
Issue tracker for Variation Normalizer manuscript work
This is the development site for Hands-On Programming with R, a book that teaches how to program in R, with hands-on examples. Read the book at https://rstudio-education.github.io/hopr.
Supplementary files for my book, "Bioinformatics Data Skills"
Basic Skills (Github/markdown/Linux/R/python)