KRAScounts: KRAS mutant and wild type droplet counts and Poisson...

In twoddpcr: Classify 2-d Droplet Digital PCR (ddPCR) data and quantify the number of starting molecules

Description

A data frame of droplet counts using the standard Cluster classification from KRASdata. Each row corresponds to a well/sample and the columns PP, PN, NP and NN show how many droplets were in each cluster. The remaining rows were calculated from the counts figures except for the InputAmount column.

KRAScountsWellCol is the same data frame but has a Well column instead of named rows.

KRAScountsQS is a data frame imported from a CSV created by Bio-Rad's QuantaSoft.

Usage

data(KRAScounts)

data(KRAScountsWellCol)

data(KRAScountsQS)

Format

A data frame where each row corresponds to a well/sample.

An object of class data.frame with 12 rows and 18 columns.

An object of class data.frame with 24 rows and 63 columns.

Details

The data frame was created by:

krasPlate <- ddpcrPlate(wells=KRASdata)
KRAScounts <- plateSummary(krasPlate, cMethod="Cluster")
onesVector <- c(1, 1, 1)
runAmount <- c(64 * onesVector, 16 * onesVector, 4 * onesVector, onesVector)
KRAScounts$InputAmount <- runAmount

KRAScountsWellCol <- KRAScounts
KRAScountsWellCol$Well <- rownames(KRAScounts)
KRAScountsWellCol <- KRAScountsWellCol[, c(18,1:17)]
rownames(KRAScountsWellCol) <- NULL

Value

A data frame.

Author(s)

From the KRASdata dataset created by Mahmood Ayub, [e-mail]

twoddpcr documentation built on Nov. 8, 2020, 5:49 p.m.