Search Results for "stream windows"
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Showing 5 open source projects for "stream windows"
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1
CSBB-v2.1 [CSBB-v3.0 is now available]
Computational Suite For Bioinformaticians and Biologists
...CSBB is implemented in Perl, while it also leverages the use of R, java and ruby in background for specific modules. Major focus of CSBB is to allow users from biology and bioinformatics community, to get benefited by performing down-stream analysis tasks while eliminating the need to write programming code. CSBB is currently available on Linux, UNIX and Windows platforms. Currently CSBB provides 17 modules focused on analytical tasks like normalization, visualization, statistics, RNA-SEQ etc. -
2
CSBB-v2.0
Computational Suite for Bioinformaticians and Biologists
...CSBB is implemented in Perl, while it also leverages the use of R, java and ruby in background for specific modules. Major focus of CSBB is to allow users from biology and bioinformatics community, to get benefited by performing down-stream analysis tasks while eliminating the need to write programming code. CSBB is currently available on Linux, UNIX and Windows platforms. Currently CSBB provides 16 modules focused on analytical tasks like normalization, visualization, statistics, RNA-SEQ etc. -
3
slurp
IO buffering in parallel environments with large files
'slurp' and 'glurp' are related utilites that help with buffering of file input and output (IO) in parallel environments with large files. They read and write files using a much larger buffer than typical system and program defaults. -
4
segment
Solve the Viterbi algorithm in a data stream
It is often necessary to assign a series of discrete values to continuosly variable data sequenced by time, position, etc., thereby parsing the data into fewer and larger segments of variable width. The 'segment' utility takes an input data stream as a Hidden Markov Model and applies the Viterbi algorithm to find the most likely segmentation path through the data. -
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5
smooth
Wavelet smoothing in a data stream
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/ ...
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