MMIA :
m
icroRNA and
m
RNA
I
ntegrated
A
nalysis
Overview
|
MMIA
|
Documentation
Notice. Users should go through each step and then run the program.
Minimum requirements are to upload both miRNA expression data (or miRNA list) in step 1 and mRNA expression data in step 3.
(Recent changes)
MMIA workflow
Organism
Human [hg18]
Step 1. microRNA data analysis
A. Data section
a. Regulated microRNA list
(Example list)
b. microRNA expression data
(Example file)
*Help
B. Option section
*Help
a. Common options in the section A.
The listed microRNAs or the microRNAs in group 2 are
down-regulated.
up-regulated.
b. Options for the section A (b).
Preprocessing options
threshold
ceiling
floor
filtering
max_value/min_value
max_value-min_value
log2 transform
None
Standard deviation
IQR
standardization
biclustering
Test options
fold-change of
t-test with p-value
fold-change of
and t-test with p-value
Multiple correction option(subjected to the second test)
q-value :
Step 2. microRNA target algorithms
You can select one of the target algorithms.
*Help
Skipped
TargetScan5.1
PicTar 4way
PicTar 5way
PITA_sites_3_15_ALL
Make sure that
"Skipped"
is checked when you select two target algorithm intersection in option 2.
Or you can use common target genes by intersection
between your two selected target algorithms.
TargetScan5.1
PicTar 4way
PicTar 5way
PITA_sites_3_15_ALL
Algorithm 1 AND
TargetScan5.1
PicTar 4way
PicTar 5way
PITA_sites_3_15_ALL
Algorithm 2
Step 3. mRNA data analysis
A. Data section
*Help
mRNA expression data
Custom
hgu133plus2
hgu133a
hgu133a2
hgu133b
hgu95av2
hgu95a
hgu95b
hgu95c
hgu95d
hgu95e
Chip platform (
Example file
, HG_U133Plus2)
B. Option section
*Help
Preprocessing options
threshold
ceiling
floor
filtering
max_value/min_value
max_value-min_value
log2 transform
None
Standard deviation
IQR
standardization
Test options
fold-change of
t-test with p-value
fold-change of
and t-test with p-value
multiple correction (subjected to the second test)
q-value :
Step 4. miRNA and mRNA combined analysis
Method description
KEGG
MIT MSigDB v2.5
Positional gene sets (Collections C1)
Canonical pathways (Collections C2)
Cancer related gene sets (Collection C4)
Gene ontolgy (Collections C5)
Disease
G2D
(candidate genes to inherited diseases)
Step 5. Optional analysis
A. microRNA gene set analysis
*Help
Transcription factor binding sites
enriched in promoter regions of miRNAs
None
Down-regulated gene set
Up-regulated gene set
Diseases enriched in the microRNAs by using
miR2Disease database
B. miRNA and mRNA combined analysis by
MIT GSEA software
(will take 10 or more minutes)
*Help
MIT MSigDB v2.5
Positional gene sets (Collections C1)
Canonical pathways (Collections C2)
Cancer related gene sets (Collections C4)
Gene ontolgy (Collections C5)
(Example output)