• Overview of IMP
  • 1 IMP中文版教程
    • 1.1 首页信息
    • 1.2 基于功能描述、注释或基因名字的全局搜索
    • 1.3 以单基因为中心的详情页面展示
    • 1.4 多基因表达图谱
    • 1.5 Gene fishing 调取表达模式相近的基因
    • 1.6 GO/KEGG 富集分析
    • 1.7 GSEA 富集分析
    • 1.8 BLAST序列比对和搜索
      • 1.8.1 BLAST 参数参考
    • 1.9 引物设计
    • 1.10 多序列比对展示
    • 1.11 序列提取
    • 1.12 基因簇可视化
    • 1.13 在线实验设计和差异基因分析
      • 1.13.1 第一步:实验设计确定要比较的物种和分组信息(不同组织部位差异或不同处理的差异)
      • 1.13.2 第二步:样品相关性评估和过滤异常样品
      • 1.13.3 第三部,设置比较组
      • 1.13.4 第四步:设置差异基因过滤阈值
      • 1.13.5 第五步:概览样品信息和设置的参数,这一步是提交前的信息确认
      • 1.13.6 第六步:差异基因分析结果报告
    • 1.14 IGV 基因组浏览器
  • 2 Systematic prediction and annotation of included genomes
    • 2.1 Species with multiple genome assembles
    • 2.2 Species without published genome assembles
  • 3 Global search genes by IDs, functions, and pathways
    • 3.1 Gene detail page
    • 3.2 The send to buttons
  • 4 Browse species and genes
    • 4.1 Structure of the Browse page
    • 4.2 Structure of the species detail page
  • 5 DE Gene analysis
    • 5.1 Overview the structure of module page
    • 5.2 First step: choose options for each required parameter
    • 5.3 Second step: check sample correlation profile and filter outlier samples
      • 5.3.1 Automatical or manual detection of outlier samples
      • 5.3.2 Interactive heatmap showing sample correlation profiles
    • 5.4 Third step: Set compare groups
    • 5.5 Forth step: Set filtering thresholds for DE genes screening
    • 5.6 Fifth step: an overview of samples information and analysis parameter information
    • 5.7 Sixth step: DE Gene analysis results report
    • 5.8 Export to PDF
  • 6 Gene expression profile
    • 6.1 Overview the structure of module page
    • 6.2 Choose options for each required parameters step by step
    • 6.3 The demo button
    • 6.4 The precise search and fuzy search mode
  • 7 Gene fishing
    • 7.1 Choose options for each required parameters step by step
    • 7.2 Network toolkit
  • 8 GO/KEGG enrichment analysis
    • 8.1 Principles of over-representation enrichment analysis
    • 8.2 Choose options for each required parameters step by step
  • 9 GSEA enrichment analysis
    • 9.1 Principles of gene set enrichment analysis (GSEA)
    • 9.2 Choose options for each required parameters step by step
    • 9.3 References
  • 10 Gene map viewer
    • 10.1 Choose options for each required parameters step by step
    • 10.2 Overlay and annotation mode
  • 11 BLAST - Basic Local Alignment Search Tool
    • 11.1 Customizable BLAST
    • 11.2 BLAST HTML results
    • 11.3 BLAST Table results
    • 11.4 Reference
  • 12 Multiple sequence alignment
    • 12.1 Sequences based multiple sequence alignment
    • 12.2 Gene/Transcript IDs based multiple sequence alignment
    • 12.3 Reference
  • 13 Sequences fetch
  • 14 Primer design
    • 14.1 Primer design for genes with IDs as input
  • 15 IGV browser
    • 15.1 Visualizing expression profiles
  • 16 Download
  • chentong_biology@163.com

IMP: Bridging the Gap for Medicinal Plant Genomics

3 Global search genes by IDs, functions, and pathways

On the index page, a global search function is provided for quickly accessing one or a series of genes. Normally, we may not remember the IDs of genes. But, we could search genes by function descriptions or keywords. This would facilitate the usage of IMP.

A screenshot of the index page.

Figure 3.1: A screenshot of the index page.

For example, we want to search for cytochrome p450 genes in Andrographis paniculata. We could operate in the following 3 steps:

Searching for cytochrome p450 genes in Andrographis paniculata using the global search function.

Figure 3.2: Searching for cytochrome p450 genes in Andrographis paniculata using the global search function.

Totally, 501 related genes are returned. From the descriptions, we could see some genes are Cytochrome P450 (these are what we searched).

Some genes are glutathione s-transferase and UDP-Glycosyltransferase. This is not wrong since the keyword Cytochrome P450 must be contained in one of their functional annotations. We could check the detailed information of these genes by clicking the gene names.

3.1 Gene detail page

As for transcript IMPTApa2N34540_1, this is a Flavin-binding monooxygenase-like gene. The below screenshot could be classified into 5 parts.

  1. The basic annotation information like Gene locus, Transcript locus, Preferred name, Gene description, GO term name, KEGG Pathway, KEGG KO Name, COG category. One could click the blue text to tour Gene ontology, and the KEGG database for more information. Normally, these page transitions are not required.

  2. The sequence part contains Gene, CDS, Promoter (upstream 2 kilobases of the transcription start site as defined as promoters here), and Protein sequences of the gene. These sequences could be directly copied or downloaded for other usages.

  3. Expression profile part showing the expression status of this gene in given datasets. One could change to Log2 transformed expression value, or change the layout or sorting ways.

Note

Especially, if X-axis tick names are very long, one could modify the padding options to show whole names.

Note

Click the legend in the interactive plot could show or hide specified parts.

  1. Gene structure part showing the UTRs, Start/Stop codons, and CDS of this gene.

  2. Protein functional domain part showing the predicted PFAM domains of proteins encoded by this transcript. One could click the domain block to tour to EBI Pfam domain page to check the detailed information on these domains.

Note

Pictures with a Save SVG button could be saved in vector format. If one wants the result in PNG format, a screenshot would generate high-quality results.

3.2 The send to buttons

Below the result table, there are several buttons that could help to transfer selected genes to specialized modules for further exploration.

This is feasible and could spare the typing of gene names one by one. The description of these modules would be listed on each module help page.