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Microarray data analysis using R

Created: 2008-07-02 11:30:06 | Last updated: 2010-02-04 11:41:11

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Identification of differential genes using... (1)

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This workflow starts by retrieving the names of microarray datasets from the Maxd database. The user has to select sets of control and test data which are then analysed by the LIMMA Bioconductor package in an R script. This produces a list of significant differentially expressed genes which is then analysed using the Go Term Finder tool to generate a PDF report of the common GO terms associated with the genes. A CSV file containing the list of sign...

Created: 2008-07-02 | Last updated: 2008-07-02

Credits: Peter Li

get promoter region + operate on genomic i... (5)

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This workflow computes a promoter region for each gene that we provide as input carrying the genomic information. Then it computes the overlap between the two datasets that contain genomic information plus some statistics. Returns rows of file_1 which overlap with the second file. A kolmogorov smirnov test is applied between the list that overlaps and the one that does not. Uses the R package GenomicRanges.

Created: 2013-10-04 | Last updated: 2013-11-04

Credits: Eleni

Get differentially expressed genes for Arr... (1)

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****IMPORTANT****:if libraries: library(ArrayExpress), library(hgu133a.db), library(limma) are not installed in the local R installation, then they need to be installed before running this workflow. Original data come from Hodges et. al 2006 "Regional and cellular gene expression changes in human Huntington’s disease brain" This workflow loads the two necessary files (gene expression data & phenotype data), and creates the expression set object to be used by the R package limma, to test for ...

Created: 2013-11-04

Credits: Eleni

Map genes to chromosomal location (1)

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This workflow maps a gene list to the genome using the biomart service, and afterwards computes a promoter region for each gene. The user needs to define the promoter region to be computed. The direction that a gene is transcribed is being taken into account in the "compute_promoter_region_with_strand" component. The variable "strand" is responsible for that. NOTE: The library(biomaRt) is a prerequisite for this workflow

Created: 2013-11-04

Credits: Eleni

get promoter region + operate on genomic i... (1)

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Finds the overlap between two datasets which contain genomic information (e.g. [gene id], chromosome name, gene start, gene end), plus some statistics. Returns rows of file_1 which overlap with the second file. A kolmogorov smirnov test is applied between the list that overlaps and the one that does not. NOTE: The library(GenomicRanges) is a prerequisite for this workflow

Created: 2013-11-04

Credits: Eleni