for Windows with Installer 32 bit
Hyokai is designed for fast data viewing, filtering and analyzing. This software allows you to view more than one million rows quickly after loaded.
Supported formats:
Supported databases:
SQL enables to search and summarize easily and quickly.
source("http://bioconductor.org/biocLite.R")
biocLite(c("GEOquery", "affy", "mouse4302.db"))
library(GEOquery)
library(affy)
library(mouse4302.db)
mouse.probe.keys <- mouse4302ENTREZID
mapped_probes <- mappedkeys(mouse.probe.keys)
probe2gene <- as.data.frame(mouse.probe.keys[mapped_probes])
write.csv(probe2gene, "probe2gene.csv")
geo.data <- getGEO("GSE46443")
geo.exprs <- exprs(geo.data[[1]])
write.csv(geo.exprs, "expressiondata.csv")
-- match rows which the value of GSM1130181 is larger than 14
GSM1130181 > 14
-- match rows which the value of GSM1130181 is larger than the value of GSM1130182
GSM1130181 > GSM1130182
-- match rows which the value of GSM1130181 or GSM1130182 is larger than 14
max(GSM1130181, GSM1130182) > 14
-- match rows which the value of GSM1130181 is larger than 12 and GSM1130182 is smaller than 11
GSM1130181 > 12 AND GSM1130182 < 11
-- match rows which the value of V starts with 143600
V LIKE "143600%"
SELECT * FROM probe2gene INNER JOIN expressiondata ON probe2gene.probe_id = expressiondata.V
SELECT gene_id, expressiondata.* FROM probe2gene INNER JOIN expressiondata ON probe2gene.probe_id = expressiondata.V
CREATE VIEW newview AS SELECT gene_id, expressiondata.* FROM probe2gene INNER JOIN expressiondata ON probe2gene.probe_id = expressiondata.V
SELECT gi.gene_info.Symbol, gi.gene_info.description, newview.* FROM newview INNER JOIN gi.gene_info ON newview.gene_id = gi.gene_info.GeneID
SELECT gi.gene_info.Symbol, gi.gene_info.description, GSM1130181 - GSM1130188 as "diff",newview.* FROM newview INNER JOIN gi.gene_info ON newview.gene_id = gi.gene_info.GeneID ORDER BY diff DESC
Programming & Web Design & Icon Design | Yasunobu OKAMURA (okamura (AT)hyokai.info) |
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Programming | Shu TADAKA |
Web Design | Kensuke NUMAKURA |
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