OmicsQ

File input

Data table

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Run example file
For feedback and bugs, please create an issue in the software repository or write the main developer: veits@bmb.sdu.dk

File specific settings

(modify if necessary)

Select and adjust

Select id and data columns:

Select ID column

Select quantitative columns

Simple manipulations and corrections:

Proceed to experimental design

Automatic selection of experimental groups

Find most suitable settings. You can manually edit the experimental design in the table below. Replicates with equal number and of the same sample group will be summarized to one replicate.

Threshold for string distance

String distance type

Assign Sample Types and Batch Number

Select samples to assign sample group from the ruler

Sample group to be assigned above

Select samples to assign batch number from the ruler

Batch number to be assigned above

Proceed to data pre-processing

Note: Samples with equal group and replicate number will be merged.

Data treatment pre-submission

Add or delete data columns

Pick the samples you want to remove

Fill with empty columns

Summary:

Data manipulation and adjustment

Is the data already log-transformed?

Maximum number of missing values per feature

Normalization method

Summarize to id features

Correction method

Proceed to interaction with apps

Map identifiers to UniProt accession numbers?

Select identifier type to map to UniProt

How to show labels

Add labels

No labels

Adjust color gradient to available/calculated correlation values

Configure plot for missing values

Distribution of missing values over features

Missing values per sample

Analyze the table with the different apps

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Statistical testing

URL

Did you finish your PolySTest analysis? Then

Clustering

URL

Did you finish your VSClust analysis? Then

Investigate protein complex behavior

URL

app_log

VSClust_results

PolySTest_results