In zhezhangsh/awsomics:
What is
What is Awsomics? Awsomics is an online toolbox that allows biomedical scientists to perform exploratory analysis of complex genomic data and facilitates knowledge discovery through their research. It is currently deployed on Amazon Web Service (AWS), a cloud platform. Awsomics has 3 major components: Rchive, the backend collection of currated genomic data; a Shiny web server that hosts a series of bioinformatics tools, or APPs; and implemented bioinformatics methods enabling integrative analysis of multiple data sets and data types (see Figure).
What is Rchive? Rchive is a collection of curated genomic data stored on the cloud platform. It makes the overwhelming amount of genomic data and information much more accessible to biomedical researchers. The same type of data goes through the same processing, formatting, and quality control procedures to support integrative analysis. Any types of genomic data could be included in Rchive, for example,
- Standard annotation: dbSNP, NCBI gene, OMIM, etc.
- Functional categorization: BioSystems, KEGG pathways, Gene Ontology, etc.
- Experimental data and analysis results: GEO, 1000 Genomes, ENCODE, dbGaP, etc.
In addition, users can integrate their own data sets into Rchive, and then analyze them together with public data.
What is GeEx? GeEx provides exploration, visualization, and primary analysis of transcriptome data collections. Each data collection includes one or more data sets. Data sets of the same collection could be generated by different labs, technologies or even species, but they should all share a common research topic of interest. For example, the C0001 collection is made of data sets studying primary mitochondrial dysfunctions due to germline mutation, chemical induction, etc. After loading a selected data collection, GeEx provides basic data browsing and visualizing functions for users to explore its contents and identify expression patterns of specific genes or gene sets. Careful data curation is key to the
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zhezhangsh/awsomics documentation built on May 4, 2019, 11:20 p.m.
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What is
What is Awsomics? Awsomics is an online toolbox that allows biomedical scientists to perform exploratory analysis of complex genomic data and facilitates knowledge discovery through their research. It is currently deployed on Amazon Web Service (AWS), a cloud platform. Awsomics has 3 major components: Rchive, the backend collection of currated genomic data; a Shiny web server that hosts a series of bioinformatics tools, or APPs; and implemented bioinformatics methods enabling integrative analysis of multiple data sets and data types (see Figure).
What is Rchive? Rchive is a collection of curated genomic data stored on the cloud platform. It makes the overwhelming amount of genomic data and information much more accessible to biomedical researchers. The same type of data goes through the same processing, formatting, and quality control procedures to support integrative analysis. Any types of genomic data could be included in Rchive, for example,
- Standard annotation: dbSNP, NCBI gene, OMIM, etc.
- Functional categorization: BioSystems, KEGG pathways, Gene Ontology, etc.
- Experimental data and analysis results: GEO, 1000 Genomes, ENCODE, dbGaP, etc.
In addition, users can integrate their own data sets into Rchive, and then analyze them together with public data.
What is GeEx? GeEx provides exploration, visualization, and primary analysis of transcriptome data collections. Each data collection includes one or more data sets. Data sets of the same collection could be generated by different labs, technologies or even species, but they should all share a common research topic of interest. For example, the C0001 collection is made of data sets studying primary mitochondrial dysfunctions due to germline mutation, chemical induction, etc. After loading a selected data collection, GeEx provides basic data browsing and visualizing functions for users to explore its contents and identify expression patterns of specific genes or gene sets. Careful data curation is key to the
How to use
FAQ
**Q: A:
**Q: A:
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