65款单细胞亚群注释工具你用过几款?

学术   2025-01-17 18:32   广东  

前面我们在单细胞天地公众号介绍过一下新工具新算法:《单细胞视角|五大策略助力细胞注释、T细胞免疫治疗新潜力、储存样本再利用新突破、高效单细胞分析工具CSI-GEP...》,其中有一个简介 吸引了我的注意:五大高效策略助力细胞类型注释。来看下!

网页介绍:https://pluto.bio/resources/Learning%20Series/annotating-clusters-in-scrnaseq

这个网页对当前的单细胞亚群注释做了一些详细介绍,并总结了五大策略:

  • 第一种策略:利用现有的基因集和参考数据库
  • 第二种策略:借助人工智能(AI)工具
  • 第三种策略:应用机器学习方法
  • 第四种策略:使用算法方法或专用软件
  • 第五种策略:结合领域知识进行手动注释
  • 综合策略:结合多种方法,确保注释准确性

可以看到当前的热门人工智能也列入其中,并且页面末尾给出一个非常全面的注释工具列表:

NameCategoryURL
Human Cell Atlas (HCA)Databasehttps://www.humancellatlas.org/
PanglaoDBDatabasehttps://panglaodb.se/
Allen Brain AtlasDatabasehttps://portal.brain-map.org/cell-types
MapMyCellsOther algorithm / toolhttps://portal.brain-map.org/atlases-and-data/bkp/mapmycells
scGPTAI / ML methodhttps://github.com/bowang-lab/scGPT
CellTypistAI / ML methodhttps://www.celltypist.org/
scMatchAI / ML methodhttps://github.com/asrhou/scMatch
scCatchOther algorithm / toolhttps://github.com/ZJUFanLab/scCATCH
SeuratOther algorithm / toolhttps://satijalab.org/seurat/
SingleROther algorithm / toolhttps://bioconductor.org/packages/release/bioc/html/SingleR.html
SCINAOther algorithm / toolhttps://dbai.biohpc.swmed.edu/scina/
GarnettAI / ML methodhttps://cole-trapnell-lab.github.io/garnett/
CellAssignAI / ML methodhttps://github.com/Irrationone/cellassign
scPredAI / ML methodhttps://github.com/powellgenomicslab/scPred
singleCellNetAI / ML methodhttps://github.com/CahanLab/singleCellNet
CHETAHAI / ML methodhttps://github.com/jdekanter/CHETAH
OnClassAI / ML methodhttps://onclass.readthedocs.io/en/stable/
scClassifyAI / ML methodhttps://bioconductor.org/packages/release/bioc/html/scClassify.html
scNymAI / ML methodhttps://github.com/calico/scnym
ACTINNAI / ML methodhttps://github.com/mafeiyang/ACTINN
scReClassifyAI / ML methodhttps://www.bioconductor.org/packages/release/bioc/html/scReClassify.html
MoanaAI / ML methodhttps://github.com/yanailab/moana
CaSTLeAI / ML methodhttps://github.com/yuvallb/CaSTLe
CellMeSHAI / ML methodhttps://github.com/shunfumao/cellmesh
cellHarmonyOther algorithm / toolhttp://www.altanalyze.org/cellHarmony/
Cell BLASTAI / ML methodhttps://cblast.gao-lab.org/
CIPROther algorithm / toolhttps://aekiz.shinyapps.io/CIPR/
CapybaraAI / ML methodhttps://github.com/morris-lab/Capybara
gCAnnoAI / ML methodhttps://github.com/xjtu-omics/gCAnno
SCSAOther algorithm / toolhttps://github.com/bioinfo-ibms-pumc/SCSA
scTyperOther algorithm / toolhttps://github.com/omicsCore/scTyper
NS-ForestAI / ML methodhttps://github.com/JCVenterInstitute/NSForest
MarkerCapsuleAI / ML methodhttps://github.com/sumantaray/MarkerCapsule
HieRFITAI / ML methodhttps://github.com/yasinkaymaz/HieRFIT
scPretrainAI / ML methodhttps://github.com/ruiyi-zhang/scPretrain
scSorterAI / ML methodhttps://cran.r-project.org/web/packages/scSorter/index.html
SciBetAI / ML methodhttp://scibet.cancer-pku.cn/
MARSAI / ML methodhttps://github.com/snap-stanford/mars
scClassifRAI / ML methodhttps://github.com/grisslab/scClassifR
clustifyrAI / ML methodhttps://github.com/rnabioco/clustifyR
SuperscanAI / ML methodhttps://github.com/cshasha/superscan
scDetectAI / ML methodhttps://github.com/IVDgenomicslab/scDetect/
ItClustAI / ML methodhttps://github.com/jianhuupenn/ItClust
sigGCNAI / ML methodhttps://github.com/NabaviLab/sigGCN
CALLRAI / ML methodhttps://github.com/MathSZhang/CALLR
scANVIAI / ML methodhttps://github.com/scverse/scvi-tools
CellOAI / ML methodhttps://github.com/deweylab/CellO
AzimuthOther algorithm / toolhttps://azimuth.hubmapconsortium.org/
scDeepSortAI / ML methodhttps://github.com/ZJUFanLab/scDeepSort
ELeFHAntAI / ML methodhttps://github.com/praneet1988/ELeFHAnt
scMRAAI / ML methodhttps://github.com/ddb-qiwang/scMRA-torch
scMRMAAI / ML methodhttps://github.com/JiaLiVUMC/scMRMA
MACAOther algorithm / toolhttps://github.com/ImXman/MACA
GraphCSOther algorithm / toolhttps://github.com/biomed-AI/GraphCS
scAnnotatROther algorithm / toolhttps://github.com/grisslab/scAnnotatR
ScTypeAI / ML methodhttps://github.com/IanevskiAleksandr/sc-type/
MarkerCountOther algorithm / toolhttps://github.com/combio-dku/MarkerCount/tree/master
scLearnAI / ML methodhttps://github.com/bm2-lab/scLearn
scIDOther algorithm / toolhttps://batadalab.github.io/scID/
CellFishing.jlOther algorithm / toolhttps://github.com/bicycle1885/CellFishing.jl
SELINAAI / ML methodhttps://github.com/SELINA-team/
CensusAI / ML methodhttps://github.com/sjdlabgroup/Census
scGAAAI / ML methodhttps://github.com/kongtianci/scGAA
TOSICAAI / ML methodhttps://github.com/JackieHanLab/TOSICA
CASSIAAI / ML methodhttps://www.cassiacell.com/

我们后面会依次选择一些其中比较经典的工具用用看。

你会选择哪款,欢迎评论区给出你的推荐!

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生物信息学学习资料分析,常见数据格式及公共数据库资料分享。常见分析软件及流程,基因检测及癌症相关动态。
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