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smooth to run in Windows online over Linux online download

Free download smooth to run in Windows online over Linux online Windows app to run online win Wine in Ubuntu online, Fedora online or Debian online

This is the Windows app named smooth to run in Windows online over Linux online whose latest release can be downloaded as smooth-1.0.0.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.

Download and run online this app named smooth to run in Windows online over Linux online with OnWorks for free.

Follow these instructions in order to run this app:

- 1. Downloaded this application in your PC.

- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 3. Upload this application in such filemanager.

- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.

- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.

- 6. Download the application and install it.

- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.

Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.

smooth to run in Windows online over Linux online


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DESCRIPTION

It is often necessary to smooth high frequency fluctuations out of data streams sequenced by time, position, etc. The 'smooth' utility applies such smoothing using the wavelet algorithm.

This implementation of wavelet smoothing was optimized for use in a data stream. It was adapted from HMMSeg Wavelet.Java by Thomas E. Wilson, University of Michigan. HMMSeg Wavelet.Java was written by Andrew Hemmaplardh, University of Washington.

http://noble.gs.washington.edu/proj/hmmseg/
Unsupervised segmentation of continuous genomic data, Bioinformatics 2007 23:1424-1426

See the above references for a more thorough description of the principles behind wavelet smoothing.

Programming Language

Perl



This is an application that can also be fetched from https://sourceforge.net/projects/smooth-stream/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.


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