Showing 78 open source projects for "libhamlib-4"

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  • 1
    mzMatch is a Java collection of small commandline tools specific for metabolomics MS data analysis. The tools are built on top of the PeakML core library, providing mass spectrometry specific functionality and access to the PeakML file format.
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  • 2

    Hyperspectral data analysis in R

    Handling and basic analysis of hyperspectral data in R

    The hsdar package contains classes and functions to manage, analyse and simulate hyperspectral data. These might be either spectrometer measurements or hyperspectral images through the interface of rgdal.
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  • 3
    PANDA

    PANDA

    A comprehensive and flexible quantification tool for proteomics data

    ...Several novelties have been implemented in it. First, we implement the advantage algorithms of LFQuant (Proteomics 2012, 12, (23-24), 3475-84) and SILVER (Bioinformatics 2014, 30, (4), 586-7) into PANDA. Second, we consider the state-of-art concept of quantification reliability in this quantitative workflow. On the levels of spectra, peptides and proteins, PANDA works out a few quantitative filters and new scores for quantification confidence. Third, PANDA is designed for processing proteomics big data in parallel.
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  • 4
    We are developing data standards and software tools that implement these standards to develop a systemic approach to modeling, capturing, analyzing and disseminating flow cytometry data.
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    Downloads: 12 This Week
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  • 5
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  • 6

    biOP

    biOP [bio~ObjectPascal/bio~Delphi] bioinformatics libraries

    Downloads: 1 This Week
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  • 7
    An R package for metrology. metRology provides classes and calculation and plotting functions for metrology applications, including measurement uncertainty estimation and (eventually) inter-laboratory metrology comparison studies.
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  • 8

    bspipe

    An End-to-End Analysis Pipeline for BS-seq

    BSpipe is a comprehensive pipeline from sequence quality control and mapping to functional analysis of differentially methylated regions: (1) sequencing quality assessment, (2) sequence cleaning, (3) sequence read mapping, (4) methylation quantification, (4) sample comparisons based on methylation profile, (5) identification of DMRs (differentially methylated regions), (6) annotation of DMRs, (7) functional analysis of differentially methylated genes, (8) generation of input files for visualization, and (9) support for advanced sequencing technologies such as TAB-seq, OxBS-seq, MAP-it, and NOMe-seq.
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  • 9
    TEACUP

    TEACUP

    TCP Experiment Automation Controlled Using Python

    TEACUP automates many aspects of running TCP performance experiments in a specially-constructed physical testbed. TEACUP enables repeatable testing of different TCP algorithms over a range of emulated network path conditions, bottleneck rate limits and bottleneck queuing disciplines. TEACUP utilises a text-based configuration file to define experiments as combinations of parameters specifying desired network path and end host conditions. When multiple values are provided (e.g. for TCP...
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  • 10
    Barber-cushman model scripted in R
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  • 11
    Penobscot River RKM Calculator

    Penobscot River RKM Calculator

    Look up in river distances in the Penobscot River drainage.

    Allows user to input a .csv of UTM coordinates within the Penobscot River basin and calculates in-river distance (in kilometers) from the river's mouth to the locations of interest. The results are output into a new .csv file named yourfilename+RKM.csv. For the purposes of this calculator, river kilometer 0 is located at 516414E 4927755N in UTM Zone 19N, near the southwest corner of Verona Island. Simply download the setup file and run it to install the program. Please contact me with...
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  • 12

    Mobile Tracking Processor

    An easy way to remove noise from mobile telemetry data

    This program takes a .txt input file containing the raw output from a Lotek SRX800 receiver and removes false detections based on a user-provided .csv of tagging data.
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  • 13
    Maui

    Maui

    Maui is the Maltcms User Interface

    Maui is the Maltcms User Interface, a rich client application for Chromatography-Mass Spectrometry and related research areas.
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  • 14

    MoCObench

    Benchmark instances for multiobjective combinatorial optimization

    Benchmark instances for multiobjective combinatorial optimization
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  • 15
    ...In case you use the package in your work, we do appreciate a citation to a DSS publication. Citation: Yadav et al. (2014), Quantitative scoring of differential drug sensitivity for individually optimized anticancer therapies. Scientific Reports 4, 5193; DOI:10.1038/srep05193 Please visit the link below for details
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  • 16
    SWire4R

    SWire4R

    An R package enabling R to interact with Stata for data exchange

    Swire4R is an R package for exchanging data between R and Stata. SWire4R uses SWire for connecting R to Stata. SWire is a plugin for Stata >=13 which acts like a server: client applications can query SWire for interacting with Stata. SWire4R acts like a client application for Swire, providing the user with various basic functions for retrieving data from Stata and exporting data to Stata. SWire4R must be compiled by R. For more information about SWire, visit https://sourceforge.net/projects/swire/
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  • 17

    Ship Lock Scheduling

    Scheduling lockages at ship locks with several parallel lock chambers

    This Java software includes algorithms of combinatorical optimization for the NP-hard offline ship lock scheduling problem. Solutions and performed computations can be displayed graphically. Besides, there is a framework for generating test instances and running these in parallel, as well as R/JGR code for statistical evaluation. Some tools for estimating the quality of calculated solutions will be further improved. Initially the software was developed within a project of TU Berlin regarding...
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  • 18
    BayesRate

    BayesRate

    Bayesian estimation of diversification rates

    BayesRate is a program to estimate speciation and extinction rates from dated phylogenies in a Bayesian framework. The methods are described in: Silvestro, D., Schnitzler, J. and Zizka, G. (2011) A Bayesian framework to estimate diversification rates and their variation through time and space. BMC Evolutionary Biology, 11, 311 Silvestro D., Zizka G. & Schulte K. (2014) Disentangling the effects of key innovations on the diversification of Bromelioideae (Bromeliaceae). Evolution, 68, 163-175.
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  • 19

    Corbata

    CORe microBiome Analysis Tools

    Corbata is a set of statistical tools that can be used to analyze the core microbiome across a set of samples.
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  • 20

    mRIN

    Assessing mRNA integrity directly from RNA-Seq data

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  • 21

    Excelsi-R

    Excel's Interface to R

    Excelsi-R is an Excel add-in that allows Excel spreadsheets to harness the power of the R statistical language by connecting to a running R process. R does not need to be installed on the computer running Excel, but it does require access to an R instance running Rserve (which can be on a remote computer). It supports incorporating R plots and graphs in an Excel workbook.
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  • 22
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  • 23
    ##### The RKWard project has moved! ##### Find the most recent news and downloads at http://rkward.kde.org . RKWard aims to provide an easily extensible, easy to use IDE/GUI for R. RKWard tries to combine the power of the R-language with the (relative) ease of use of commercial statistics tools.
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  • 24
    The Dataverse Network is a Java EE5 app that enables researchers to share data on-line. It provides data citation standards, facilitates preservation, distribution and replication of data, and includes statistical analysis. More at: http://thedata.org
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  • 25

    NOFI ranking

    The Non-Outlier Fragment Ion ranking for enhaced DIA quantification

    ...The outline is as follows: 1) The input contains the list of SWATH fragment ion XICs from the identified and quantified peptides by software tools such as Skyline and OpenSWATH. 2) The first step in NOFI is the computation of the 4 attributes (RTd, FWHMd, IRd and IRrep) used to represent each fragment ion as a vector. 3) Multivariate outlier detection techniques are used to rank all the fragment ions from each peptide. 4) Several figures are generated (a pdf file) to visualize the effect of the Top-N fragment ions over different indicators. 5) The user can choose the number of top fragment ions per peptide, thereby utilizing the optimal subset of high priority Top-N NOFIs for quantification while excluding the impaired fragment ions.
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