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<!DOCTYPE html>
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<div class="row mx-auto index-card">
<article class="col-12 col-md-12 mx-auto index-info">
<h2 class="index-header">
<a href="/posts/4cd61ccd.html" target="_self">
安卓内核驱动编译
</a>
</h2>
<a class="index-excerpt index-excerpt__noimg" href="/posts/4cd61ccd.html" target="_self">
<div>
编译安卓内核驱动,需要对应设备的内核源码,安卓手机的内核源码一般可以在github上面搜索到,如果机型较新,可能没有对应的内核源码,这个时候就只能等设备厂商开放了。github搜索关键词一般为android_kernel_<设备品牌>_<cpu代号或手机代号>。 下面的例子将使用oneplus 8 的内核源码进行驱动编译。 内核源码:https://github.com/p
</div>
</a>
<div class="index-btm post-metas">
<div class="post-meta mr-3">
<i class="iconfont icon-date"></i>
<time datetime="2024-11-17 23:43" pubdate>
2024-11-17
</time>
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<i class="iconfont icon-category"></i>
<span class="category-chains">
<span class="category-chain">
<a href="/categories/%E5%BC%80%E5%8F%91/" class="category-chain-item">开发</a>
</span>
</span>
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<div class="post-meta">
<i class="iconfont icon-tags"></i>
<a href="/tags/%E5%AE%89%E5%8D%93%E5%86%85%E6%A0%B8/">#安卓内核</a>
<a href="/tags/linux/">#linux</a>
</div>
</div>
</article>
</div>
<div class="row mx-auto index-card">
<article class="col-12 col-md-12 mx-auto index-info">
<h2 class="index-header">
<a href="/posts/3f4340b4.html" target="_self">
转录组分析概述
</a>
</h2>
<a class="index-excerpt index-excerpt__noimg" href="/posts/3f4340b4.html" target="_self">
<div>
概述 转录组(transcriptome)广义上指某一生理条件下,细胞内所有转录产物的集合,包括信使RNA、核糖体RNA、转运RNA及非编码RNA;狭义上指所有mRNA的集合。转录组测序分析可以分为有参转录组分析和无参转录组分析。有参无参的意思是,有/无参考基因组。 转录组上游分析 转录组上游分析一般有3种模式: 有参转录组上游分析 有参考基因组无注释文件上游分析或寻找新的转录本 无参考基因
</div>
</a>
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<div class="post-meta mr-3">
<i class="iconfont icon-date"></i>
<time datetime="2024-07-26 20:06" pubdate>
2024-07-26
</time>
</div>
<div class="post-meta mr-3 d-flex align-items-center">
<i class="iconfont icon-category"></i>
<span class="category-chains">
<span class="category-chain">
<a href="/categories/%E8%BD%AC%E5%BD%95%E7%BB%84%E5%88%86%E6%9E%90/" class="category-chain-item">转录组分析</a>
</span>
</span>
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<div class="post-meta">
<i class="iconfont icon-tags"></i>
<a href="/tags/%E7%94%9F%E7%89%A9%E4%BF%A1%E6%81%AF/">#生物信息</a>
</div>
</div>
</article>
</div>
<div class="row mx-auto index-card">
<article class="col-12 col-md-12 mx-auto index-info">
<h2 class="index-header">
<a href="/posts/7393dc5b.html" target="_self">
基因组结构注释
</a>
</h2>
<a class="index-excerpt index-excerpt__noimg" href="/posts/7393dc5b.html" target="_self">
<div>
基因组注释分为结构注释和功能注释。 结构注释能够帮助我们获取基因组上详细的基因分布和结构信息,是功能注释和进化分析的重要基础。基因结构预测包括预测基因组中的基因位点、开放性阅读框架(ORF)、翻译起始位点和终止位点、内含子和外显子区域、启动子、可变剪切位点以及蛋白质编码序列等等。 功能注释可以帮助我们进一步获得基因的功能信息,包括预测基因中的模序和结构域、蛋白质的功能和所在的生物学通路等 基因结构
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<div class="post-meta mr-3">
<i class="iconfont icon-date"></i>
<time datetime="2024-07-26 20:00" pubdate>
2024-07-26
</time>
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<span class="category-chains">
<span class="category-chain">
<a href="/categories/%E8%BD%AC%E5%BD%95%E7%BB%84%E5%88%86%E6%9E%90/" class="category-chain-item">转录组分析</a>
</span>
</span>
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<div class="post-meta">
<i class="iconfont icon-tags"></i>
<a href="/tags/%E7%94%9F%E7%89%A9%E4%BF%A1%E6%81%AF/">#生物信息</a>
<a href="/tags/%E7%94%9F%E4%BF%A1%E8%BD%AF%E4%BB%B6%E4%BD%BF%E7%94%A8/">#生信软件使用</a>
<a href="/tags/%E7%BB%93%E6%9E%84%E6%B3%A8%E9%87%8A/">#结构注释</a>
<a href="/tags/%E5%9F%BA%E5%9B%A0%E7%BB%84%E6%B3%A8%E9%87%8A/">#基因组注释</a>
</div>
</div>
</article>
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<article class="col-12 col-md-12 mx-auto index-info">
<h2 class="index-header">
<a href="/posts/2f57a694.html" target="_self">
正则表达式
</a>
</h2>
<a class="index-excerpt index-excerpt__noimg" href="/posts/2f57a694.html" target="_self">
<div>
什么是正则表达式 正则表达式是一组由字母和符号组成的特殊文本,是一种用于匹配和操作文本的强大工具,它可以在文本中查找、替换、提取你想要的文字,也可以用来验证特定的字符组成模式。一个正则表达式一般从左到右匹配主体字符串,常使用缩写的术语“regex”或“regexp”。 工具和基本语法 正则表达式一般以\<regex>\<flag>的形式存在,不同软件可能存在差异。<
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<i class="iconfont icon-date"></i>
<time datetime="2024-07-26 19:52" pubdate>
2024-07-26
</time>
</div>
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<span class="category-chains">
<span class="category-chain">
<a href="/categories/%E5%AD%A6%E4%B9%A0/" class="category-chain-item">学习</a>
</span>
</span>
</div>
<div class="post-meta">
<i class="iconfont icon-tags"></i>
<a href="/tags/%E6%AD%A3%E5%88%99%E8%A1%A8%E8%BE%BE%E5%BC%8F/">#正则表达式</a>
<a href="/tags/python/">#python</a>
<a href="/tags/re%E6%A8%A1%E5%9D%97/">#re模块</a>
</div>
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</article>
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使用LaTeX进行数学公式输入
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什么是LaTex LaTeX是一个专业的排版系统,擅长处理篇幅较长、结构严谨的文档,并且十分擅长公式表达。它是免费软件,可以在大多数操作系统中安装使用。区别于微软的 Office Word,使用LaTeX并不能「所见即所得」。LaTeX文档是一个以.tex结尾的文本文件,可以使用任何文本编辑器编辑,但对于大多数人而言,使用一个合适的 LaTeX 编辑器会使得编辑的过程容易很多。在编辑的过程中你可
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<a href="/tags/LaTeX/">#LaTeX</a>
<a href="/tags/%E6%95%B0%E5%AD%A6%E5%85%AC%E5%BC%8F/">#数学公式</a>
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差异表达分析
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差异分析三巨头 DESeq2、edgeR、limma DESeq2、edgeR、limma是转录组差异分析的金标准,大多数转录组的文章和公司都是使用这三个R包做转录组的差异基因分析。 做差异基因表达分析需要的数据有:表达矩阵、分组信息 表达矩阵:即上游分析得到的每个基因在每个样本中的reads数,这里所使用的差异分析包都要求原始reads数的格式输入。 分组信息:即一个实验设计矩阵,包含每一个
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fastp软件的使用
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fastp: A tool designed to provide fast all-in-one preprocessing for FastQ files. This tool is developed in C++ with multithreading supported to afford high performance. fastp,它可以仅仅扫描FASTQ文件一次,就完成比FA
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