bioRxivBioinformaticsPreprint
Neutools: A collection of bioinformatics web tools for neurogenomic analysis
Abstract
With a large and growing number of neurogenomic data, from epigenetic, transcriptomic to proteomic data deposited to the public domains, visualization and mining of these data alongside one own data have become extremely useful for identifying potential genetic targets and/or biological pathways to further validate and characterize in model systems. Here, a series of easy-to-use web tools (Neutools) were developed using Shiny/R codes for neuroscientists to perform basic bioinformatics data analysis and visualization. Specifically, NeuVenn calculates and plots overlap statistics for multiple input gene sets; NeuGene and NeuChIP visualize gene expression data and histone ChIP-Seq data generated from brain related tissue and cell culture, respectively. NeuVar annotates human brain GWAS variants and epigenetic features based on user-specified genes and regions. Neutools are freely available resources for all academic users to use.
- organism: human
- assay: GWAS summary statistics
- assay: proteomics
- assay: ChIP-seq
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: variant effect prediction
- research focus: database / resource
- approach: statistical model
- approach: machine learning (classical)
- Citations
- 1
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