Showing 3 open source projects for "32-bit"

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    Ship Agents Faster

    Transform your applications and workflows into powerful agentic systems at global scale.

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    Paessler: Easy to Use With Enterprise Power. Free Trial

    A low-code dashboard makes monitoring intuitive for any admin, while scripting and custom sensors give experts full control.

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    BioXTAS RAW

    BioXTAS RAW

    Processing and analysis of Small Angle X-ray Scattering (SAXS) data.

    BioXTAS RAW is a program for analysis of Small-Angle X-ray Scattering (SAXS) data. The software enables: creation of 1D scattering profiles from 2D detector images, standard data operations such as averaging and subtraction, analysis of radius of gyration (Rg) and molecular weight, and advanced analysis using GNOM and DAMMIF as well as electron density reconstructions using DENSS. It also allows easy processing of inline SEC-SAXS data and data deconvolution using the evolving factor analysis...
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    Downloads: 198 This Week
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    GrowthRates

    Calculate growth rates from microplate reader output

    ...It automates the calculation of growth rate parameters, including rates, lag times, maximum population density. Manual calculation of those parameters requires at least 5 minutes per well, or 32 hours for a 384 well plate. GrowthRates completely analyzes growth parameters in all 384 wells in under 5 minutes. CGR2 (Compare Growth Rates) is a statistical program specifically designed to assess the results of a growth rate experiment that has been analyzed using the program GrowthRates. The purpose of a statistical analysis is to establish our level of trust in both the data and in the conclusions we draw from that data. ...
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    Downloads: 5 This Week
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    PPIXpress

    PPIXpress

    specific protein interaction networks from transcript expression

    ...Since a simple reduction of the networks to the subset of expressed genes only scratches the surface of higher organisms’ regulatory capabilities, we propose the advanced method PPIXpress that allows to exploit expression data at the transcript-level and is thus able to also reveal alterations in protein connectivity caused by alternative splicing. The original publication can be found on https://bioinformatics.oxfordjournals.org/content/32/4/571 .
    Downloads: 0 This Week
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