Plant Bioinformatics

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课程主页: https://www.coursera.org/archive/plant-bioinformatics

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Plant Genomic Databases, and useful sites for info about proteins
Expression Analysis
Coexpression Tools
Sectional Quiz 1

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The past 15 years have been exciting ones in plant biology. Hundreds of plant genomes have been sequenced, RNA-seq has enabled transcriptome-wide expression profiling, and a proliferation of "-seq"-based methods has permitted protein-protein and protein-DNA interactions to be determined cheaply and in a high-throughput manner. These data sets in turn allow us to generate hypotheses at the click of a mouse. For instance, knowing where and when a gene is expressed can help us narrow down the phenotypic search space when we don't see a phenotype in a gene mutant under "normal" growth conditions. Coexpression analyses and association networks can provide high-quality candidate genes involved in a biological process of interest. Using Gene Ontology enrichment analysis and pathway visualization tools can help us make sense of our own 'omics experiments and answer the question "what processes/pathways are being perturbed in our mutant of interest?" Structure: each of the 6 week hands-on modules consists of a ~2 minute intro, a ~20 minute theory mini-lecture, a 1.5 hour hands-on lab, an optional ~20 minute lab discussion if experiencing difficulties with lab, and a ~2 minute summary. Tools covered: Module 1: GENOMIC DBs / PRECOMPUTED GENE TREES / PROTEIN TOOLS. Araport, TAIR, Gramene, EnsemblPlants Compara, PLAZA; SUBA4 and Cell eFP Browser, 1001 Genomes Browser Module 2: EXPRESSION TOOLS. eFP Browser / eFP-Seq Browser, Araport, Genevestigator, TravaDB, NCBI Genome Data Viewer for exploring RNA-seq data for many plant species other than Arabidopsis, MPSS database for small RNAs Module 3: COEXPRESSION TOOLS. ATTED II, Expression Angler, AraNet, AtCAST2 Module 4: PROMOTER ANALYSIS. Cistome, Athena, ePlant Module 5: GO ENRICHMENT ANALYSIS AND PATHWAY VIZUALIZATION. AgriGO, AmiGO, Classification SuperViewer, TAIR, g:profiler, AraCyc, MapMan (optional: Plant Reactome) Module 6: NETWORK EXPLORATION. Arabidopsis Interactions Viewer 2, ePlant, TF2Network, Virtual Plant, GeneMANIA [Material updated in June 2019]

植物生物信息学:过去15年是植物生物学中令人兴奋的一年。已经对数百个植物基因组进行了测序,RNA-seq已实现了转录组范围内的表达谱分析,基于“ -seq”的方法的广泛使用已使蛋白质-蛋白质和蛋白质-DNA相互作用得以廉价且高通量地测定方式。这些数据集又使我们能够通过单击鼠标来生成假设。例如,当我们在“正常”生长条件下看不到基因突变体的表型时,知道基因在何时何地表达可以帮助我们缩小表型搜索空间。共表达分析和关联网络可以提供参与感兴趣的生物过程的高质量候选基因。使用基因本体论富集分析和途径可视化工具可以帮助我们理解自己的“组学实验”,并回答“在我们感兴趣的突变体中正在扰动哪些过程/途径的问题”。 结构:为期6周的动手模块中的每个模块均包含一个约2分钟的简介,一个约20分钟的理论小型讲座,一个1.5小时的动手实验,一个可选的约20分钟的实验讨论(如果遇到实验困难),以及约2分钟的摘要。 涵盖的工具: 单元1:基因数据库/预装配的基因树/蛋白质工具。 Araport,TAIR,Gramene,EnsemblPlants Compara,PLAZA; SUBA4和Cell eFP浏览器,1001基因组浏览器 模块2:表达工具。 eFP浏览器/ eFP-Seq浏览器,Araport,Genevestigator,TravaDB,NCBI Genome Data Viewer,用于探索除拟南芥之外的许多植物物种的RNA-seq数据,用于小RNA的MPSS数据库 模块3:共表达工具。 ATTED II,Expression Angler,AraNet,AtCAST2 模块4:发起人分析。 Cistome,雅典娜,ePlant 第5单元:进行富集分析和途径可视化。 AgriGO,AmiGO,分类SuperViewer,TAIR,g:profiler,AraCyc,MapMan(可选:Plant Reactome) 模块6:网络探索。拟南芥交互作用查看器2,ePlant,TF2Network,虚拟植物,GeneMANIA [材料于2019年6月更新]

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