<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[单细胞云平台涉及的软件调研分析]]></title><description><![CDATA[<p dir="auto">一，Kallisto<br />
一个和Star功能类似的转录本统计分析软件<br />
<a href="https://www.g3journal.org/content/10/5/1775" rel="nofollow ugc">https://www.g3journal.org/content/10/5/1775</a><br />
Evaluation of STAR and Kallisto on Single Cell RNA-Seq Data Alignment<br />
Star 的效果比较好 但是资源需求量是kallisto的几倍<br />
二，Bustools<br />
和Kallisto搭配使用 最终生成统计矩阵 kallisto会生成一个BUS格式的文件 bustools用来处理这个文件<br />
<a href="https://github.com/BUStools/BUS-format" rel="nofollow ugc">https://github.com/BUStools/BUS-format</a><br />
<a href="https://www.kallistobus.tools/" rel="nofollow ugc">https://www.kallistobus.tools/</a><br />
三，<a href="http://Velocyto.py" rel="nofollow ugc">Velocyto.py</a>   scVelo<br />
<a href="http://velocyto.org/" rel="nofollow ugc">http://velocyto.org/</a><br />
velocyto (velox κύτος, quick cell) 是一个用于分析单细胞 RNA seq 数据中表达动态的软件包。 特别是，它可以通过区分标准单细胞 RNA 测序协议中未剪接和剪接的 mRNA 来估计单细胞的 RNA 速度</p>
<p dir="auto">scVelo 也是分析RNA速度的软件<br />
四，Monocle2  Seurat<br />
<a href="http://cole-trapnell-lab.github.io/monocle-release/" rel="nofollow ugc">http://cole-trapnell-lab.github.io/monocle-release/</a><br />
这两个都是分析单细胞的包</p>
<p dir="auto">五  Scran AUCell<br />
Bioconductor的包</p>
<p dir="auto">六 Harmony<br />
<a href="https://github.com/immunogenomics/harmony" rel="nofollow ugc">https://github.com/immunogenomics/harmony</a><br />
Harmony is an algorithm for performing integration of single cell genomics datasets<br />
对单细胞进行集成</p>
<p dir="auto">七 NicheNetR<br />
<a href="https://github.com/saeyslab/nichenetr" rel="nofollow ugc">https://github.com/saeyslab/nichenetr</a><br />
nichenetr: the R implementation of the NicheNet method. The goal of NicheNet is to study intercellular communication from a computational perspective.</p>
<p dir="auto">八 pySCENIC<br />
pySCENIC is a lightning-fast python implementation of the SCENIC pipeline (Single-Cell rEgulatory Network Inference and Clustering) which enables biologists to infer transcription factors, gene regulatory networks and cell types from single-cell RNA-seq data.</p>
<p dir="auto">九 scFEA<br />
scFEA: A graph neural network model to estimate cell-wise metabolic using single cell RNA-seq data<br />
十 NATMI<br />
<a href="https://github.com/asrhou/NATMI" rel="nofollow ugc">https://github.com/asrhou/NATMI</a><br />
NATMI: Network Analysis Toolkit for the Multicellular Interactions<br />
七到十都是一些下游分析的包</p>
<p dir="auto">十一 数据格式<br />
Seuratdisk<br />
Interfaces for HDF5-based Single Cell File Formats<br />
loomR</p>
]]></description><link>http://an.forum.genostack.com/topic/424/单细胞云平台涉及的软件调研分析</link><generator>RSS for Node</generator><lastBuildDate>Sat, 13 Jun 2026 10:57:58 GMT</lastBuildDate><atom:link href="http://an.forum.genostack.com/topic/424.rss" rel="self" type="application/rss+xml"/><pubDate>Fri, 22 Oct 2021 06:48:05 GMT</pubDate><ttl>60</ttl></channel></rss>