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  • 1
    asammdf

    asammdf

    Fast Python reader and editor for ASAM MDF / MF4 (Measurement Format)

    *asammdf* is a fast Python parser and editor for ASAM (Associtation for Standardisation of Automation and Measuring Systems) MDF / MF4 (Measurement Data Format) files. It supports MDF versions 2 (.dat), 3 (.mdf) and 4 (.mf4). *asammdf* works on Python 2.7, and Python >= 3.4
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    Downloads: 52 This Week
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  • 2
    miRDeep*

    miRDeep*

    MiRDeep*

    Please cite: An, J., Lai, J., Lehman, M.L. and Nelson, C.C. (2013) miRDeep*: an integrated application tool for miRNA identification from RNA sequencing data. Nucleic Acids Res, 41, 727-737. We will create index for you if you tell us your interested species (j.an@qut.edu.au). download command line version "MDS_command_line_Vxx.zip" clicking "Browse All Files" please find miRPlant in sourceforge for plant miRNA prediction.
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    Downloads: 11 This Week
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  • 3
    xylib is a portable library for reading x-y data from powder diffraction, spectroscopy and other experimental methods. Supported formats: VAMAS, pdCIF, Bruker, Philips, Rigaku DAT, Sietronics CPI, DBWS/DMPLOT, Koalariet XDD and others.
    Downloads: 8 This Week
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  • 4

    galplot

    Plot GALPROP output

    Plot package for GALPROP https://sourceforge.net/projects/galprop Plots models and data for cosmic-ray spectra, secondary/primary ratios, gamma rays, synchrotron. Includes gamma-ray source population synthesis and corresponding plots. For gamma rays, convolves models with the Fermi-LAT response. This release is to assess interest. It requires many input data files (not included) which will be made available as required. With the data provided cosmic-ray spectra and ratios and source...
    Downloads: 0 This Week
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  • 5

    SpiKeDeteKt

    An automatic spike detection program to be used with new KlustaKwik

    This is an automatic spike detection program which takes account of probe geometry and produces a .mask file to be used with the new masked version of KlustaKwik. We recommend you use Python 2.6 or 2.7, e.g. a free academic version can be obtained from Entthought Python. The input files for SpiKeDeteKt are: .dat (raw data file) .probe (probe file, described below - user constructed) parameters.py (optional - otherwise it uses defaultparameters.py) SpiKeDeteKt outputs the following files: .fet.n (feature file) .mask.n (needed for using the new (masked) KlustaKwik) .clu.n (a trivial clue file where everything is put into a single cluster) .fmask.n (trial - float masks instead of binary, we are using this for testing masked KlustaKwik) .spk.n (spike file) .upsk.n (unfiltered spike waveform) .res.n (list of spike times) .xml (an xml file with all the parameters that can subsequently be used by neuroscope or klusters) .fil (highpass filtered data) .h5 (
    Downloads: 0 This Week
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