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useful_tools_for_functional_and_pathway_analysis [2019/10/25 04:09] adminuseful_tools_for_functional_and_pathway_analysis [2020/04/22 18:09] – [Useful tools for functional and pathway analysis] isha
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-=====   =====+===== Useful tools for functional and pathway analysis =====
  
   * [[http://www.humanmine.org/%20|Humanmine ]] : given a list of genes as input (Entrez/Ensembl/Symbol or a mix), it returns interaction networks, pathways, Gene Ontology categories, relevant literature, protein domains, chromosome distributions and much more on a single page. There are also nice summaries that pop-up by hovering the mouse over a gene name.   * [[http://www.humanmine.org/%20|Humanmine ]] : given a list of genes as input (Entrez/Ensembl/Symbol or a mix), it returns interaction networks, pathways, Gene Ontology categories, relevant literature, protein domains, chromosome distributions and much more on a single page. There are also nice summaries that pop-up by hovering the mouse over a gene name.
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   * There are some [[https://www.biostars.org/p/274514/|R tools]] for pathway analysis including [[https://yulab-smu.github.io/clusterProfiler-book/|ClusterProfiler]].   * There are some [[https://www.biostars.org/p/274514/|R tools]] for pathway analysis including [[https://yulab-smu.github.io/clusterProfiler-book/|ClusterProfiler]].
   * Mouse Genome Informatics ([[http://www.informatics.jax.org/|MGI]]) has a nice hierarchal Gene Ontology [[http://www.informatics.jax.org/vocab/gene_ontology|Browser]] similar to Reactome.   * Mouse Genome Informatics ([[http://www.informatics.jax.org/|MGI]]) has a nice hierarchal Gene Ontology [[http://www.informatics.jax.org/vocab/gene_ontology|Browser]] similar to Reactome.
 +  * Functional Enrichment Analysis [[https://yulab-smu.github.io/clusterProfiler-book/chapter1.html|overview]]. Isha's list of [[https://docs.google.com/presentation/d/1c4HAcImyyU1as5qEwzmH8QIAxD25N4Z5__sUZE3n6kk/edit#slide=id.g6f90f06c9f_0_0|functional enrichment]] analysis tools in R.
 +  * [[http://gepia.cancer-pku.cn/|GEPIA]] and [[http://gepia2.cancer-pku.cn/#index|GEPIA2]] are web based resources for interactive gene expression profiling and analysis. The data sources used are TCGA and GTEx.
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