Description Usage Format References
This data set give the first 1000 lines of a RNA-Seq experiment in human B lymphoma cells. The cufflinks suite was used to assemble the transcripts and search for differenly expressed genes. For the identification of the transcripts and exons the Ensembl annotations were used.
1 |
A data frame with 999 observations on the following 16 variables from a cuffdiff (V2.0) run:
test_id
A unique identifier describing the gene being tested.
gene_id
The gene_name or gene_id
gene
The gene_name(s) or gene_id(s) being tested
locus
Genomic coordinates for easy browsing to the genes or transcripts being tested.
sample_1
Label (or number if no labels provided) of the first sample being tested
sample_2
Label (or number if no labels provided) of the second sample being tested
status
Can be one of OK (test successful), NOTEST (not enough alignments for testing), LOWDATA (too complex or shallowly sequenced), HIDATA (too many fragments in locus), or FAIL, when an ill-conditioned covariance matrix or other numerical exception prevents testing.
value_1
FPKM of the gene in sample x
value_2
FPKM of the gene in sample y
log2.fold_change.
The (base 2) log of the fold change y/x
test_stat
The value of the test statistic used to compute significance of the observed change in FPKM
p_value
The uncorrected p-value of the test statistic
q_value
The FDR-adjusted p-value of the test statistic
significant
Can be either "yes" or "no", depending on whether p is greater then the FDR after Benjamini-Hochberg correction for multiple-testing
Cuffdiff Output:http://cufflinks.cbcb.umd.edu/manual.html#gene_exp_diff
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.