BLM: Brain/Liver/Muscle (BLM) RNA-sequencing mixture data

In usnistgov/mixturesolutions: Analysis of Mixture count data

Description

A dataset containing a set of mixes andraw components.

Usage

BLM

Format

Data frame of 16 variables and 28030 rows:

gene_id

UCSC gene identifier

a1

counts from mix 1, ambion ercc spike pool 'a' 4x - designed proportions 0.25,0.25,0.5

a1d

mix 1, ambion ercc spike pool 'a' 1x - designed proportions 0.25,0.25,0.5

a1u

mix 1, ambion ercc spike pool 'a' 16x - designed proportions 0.25,0.25,0.5

b1

mix 1, ambion ercc spike pool 'b' 4x - designed proportions 0.25,0.25,0.5

b1d

mix 1, ambion ercc spike pool 'b' 1x - designed proportions 0.25,0.25,0.5

b1u

mix 1, ambion ercc spike pool 'b' 16x - designed proportions 0.25,0.25,0.5

a2

mix 2, ambion ercc spike pool 'a' 4x - designed proportions 0.25,0.5,0.25

b2

mix 2, ambion ercc spike pool 'b' 4x - designed proportions 0.25,0.5,0.25

b2d

mix 2, ambion ercc spike pool 'b' 1x - designed proportions 0.25,0.5,0.25

b2u

mix 2, ambion ercc spike pool 'b' 16x - designed proportions 0.25,0.5,0.25

bep

Pure brain counts

lep

Pure liver counts

mep

Pure muscle counts

norm

string identifying normalization type: UQN = upper quartile normalization

uid

string identifying the data source: Illumina sequencing, tophat mapping, HTSeq-counts quantification, USCS annotation

Source

http://dx.doi.org/10.1186%2Fs12864-015-1912-7

usnistgov/mixturesolutions documentation built on May 3, 2019, 2:38 p.m.