RRafiee/XHMM: eXome Hidden Markov model (XHMM) - GitHub
Discovery of copy number variations (CNVs) from exome read depth using XHMM (eXome-Hidden Markov Model)
隐马尔可夫模型最详细讲解 HMM(Hidden Markov Model)
Apr 10, 2020 · 隐马尔科夫模型（Hidden Markov Model，以下简称HMM）是比较经典的机器学习模型了，它在语言识别，自然语言处理，模式识别等领域得到广泛的应用。 当然，随着目前 …
XHMM检测CNV | 生物信息文件夹
Oct 10, 2021 · XHMM 是一个用PCA降噪+HMM方法来检测全外显子CNV的软件。 软件 文档 可在这里查看。 XHMM安装依赖GCC 4.4以上，以及 pthread 和 lapack。 安装比较麻烦，可以 …
How to run XHMM - Harvard University
What does a "typical" XHMM workflow look like? the "best practice" bwa + Picard + GATK pipeline, though variations on this pipeline, successfully employed by various users. For …
XHMM (eXome-Hidden Markov Model) - Harvard University
XHMM uses principal component analysis (PCA) normalization and a hidden Markov model (HMM) to detect and genotype copy number variation (CNV) from normalized read-depth data …
XHMM: CNV分析流程与原理-CSDN博客
Jan 19, 2021 · XHMM是用于WES数据的CNV分析工具，通过PCA归一化测序深度，结合隐马可夫模型进行CNV预测。 流程包括比对参考基因组、归一化、构建HMM模型及CNV调用。 PCA …
Downloading XHMM - Harvard University
Change to the xhmm directory: . Run make to install the software (which starts by automatically compiling the included hmm++ library): . The XHMM R code is now available as an R library. …
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xuexiaohua-bio/XHMM_germlineCNV - GitHub
As described in the XHMM manual, "XHMM was explicitly designed to be used with targeted exome sequencing at high coverage (at least 60x - 100x) using Illumina HiSeq (or similar) …
XHMM分析原理简介-腾讯云开发者社区-腾讯云
Dec 18, 2019 · XHMM是一款利用WES 数据分析 CNV的软件，利用PCA降维来归一化外显子区的测序深度信息，然后通过隐马可夫模型来预测CNV,对应的文章链接如下. 该软件的pipeline示 …
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