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Expand Up @@ -179,7 +179,7 @@ ADMIRE -s sample_definition.txt -e quality_report.pdf -r gencode.v19.genes_promo

### Citation and License

Please cite Preussner J, Kuenne C and Looso, M: Analysis of DNA methylation in genomic regions with ADMIRE. Bioinformatics (2015), doi:tba
Please cite Preussner J, Kuenne C and Looso, M. ADMIRE: Analysis and visualization of differential methylation in genomic regions using Infinium HumanMethylation450K Chips. Bioinformatics (2015), doi:tba

#### The MIT License (MIT)

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admire - Analysis of DNA methylation in genomic regions
ADMIRE - Analysis of DNA methylation in genomic regions
=======================================================

admire is a semi-automatic analysis pipeline and visualization tool for Infinium HumanMethylation450K Chips.
ADMIRE is a semi-automatic analysis pipeline and visualization tool for Infinium HumanMethylation450K Chips.

Use admire online: https://bioinformatics.mpi-bn.mpg.de
Use ADMIRE online: https://bioinformatics.mpi-bn.mpg.de

Features
--------

- Automatic filtering and normalization
- Statistical testing and multiple testing correction
- Supports arbitrary number of samples and sample groups
- Differential analysis on pre-calculated and individual genomic regions
- Differential methylation analysis on pre-calculated and individual genomic regions
- Provides ready-to-plug-in files for genome browsers (like IGV)

Documentation
-------------

We have a extensive documentation with a use case available [here](https://github.com/jenzopr/admire/blob/master/DOCUMENTATION.md)

Installation and Command-line usage
-----------------------------------

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Usage: admire [options]

Available options:
-c comma separated sample definition file (SampleSheet.csv)
-s tab separated sample definition file (design.txt)
-r region file in bed format (regions.bed)
Use multiple -r parameters to calculate for multiple region files
-n normalization method (fn)
-q q-value cutoff for multiple testing correction (0.05)
-h shows this help message.
-v shows version information.
-z compressed input of idat files (requires -c).
-c | Comma separated sample definition file (SampleSheet.csv)
-s | Tab separated sample definition file (design.txt)
-z | Compressed input of idat files (requires -c).
-e | Create quality control report in PDF
-r | Region file in bed format (regions.bed), use multiple -r parameters to calculate for multiple region files
-p | Detection p-value to exclude probes prior to analysis (0.01)
-t | Exclude probes where more than t% samples failed according to the detection p-value. (0.4)
-n | Normalization method (fn,swan,noob,illumina,raw,quantile)
-b | In case of functional normalization, skip noob background correction step
-d | In case of noob or functional normalization, skip dye correction step
-f | In case of quantile normalization, skip fixing outliers prior to analysis
-l | In case of quantile normalization, label samples as bad if their median signals are below a given value (10.5)
-m | In case of quantile normalization, remove bad samples
-q | Q-value cutoff for multiple testing correction (0.05)
-o | tar-gz compress output into file given
-h | shows this help message
-v | shows version information

Options -c and -s are mutually exclusive.
```
How to cite?
------------
Please cite Preußner J, Kuenne C and Looso M. Title here. *Bioinformatics*, **2015** when using admire in your work.
Please cite Preussner J, Kuenne C and Looso M. ADMIRE: Analysis and visualization of differential methylation in genomic regions using Infinium HumanMethylation450K Chips. *Bioinformatics*, **2015** when using admire in your work.
Contribute
----------
- Issue Tracker: github.com/$project/$project/issues
- Source Code: github.com/$project/$project
- Issue Tracker: github.com/jenzopr/admire/issues
- Source Code: github.com/jenzopr/admire
Support
-------
If you are having issues, please let us know.
We have a mailing list located at: project@google-groups.com
If you are having issues, please feel free to send an e-mail to Jens Preußner (jens.preussner@mpi-bn.mpg.de).
License
-------
The project is licensed under the MIT license.
The project is licensed under the MIT license.

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