R package to prepare proteomics datasets for the peptide level quantification
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Updated
Jul 1, 2023 - R
R package to prepare proteomics datasets for the peptide level quantification
This project deals with a supervised learning task: Quantification whose objective is to estimate the class distribution in a test sample.
Quantification of actin dynamics using difference maps (Vidali et al, 2010, The Plant Cell)
Defect Detection and Quantification Toolbox
Analysis of actin dynamics using the method described by Higaki et al. (2009).
Toolkit for 3D image processing and analysis.
MARISSA - Magnetic Resonance Imaging Software for Standardization
pyAMARES, an Open-Source Python Library for Fitting Magnetic Resonance Spectroscopy Data
These datasets and R scripts are complementary to the paper "Aphid honeydew may be the predominant sugar source for Aphidius parasitoids even in nectar-providing intercrops" published in Biological Control (https://doi.org/10.1016/j.biocontrol.2021.104596).
Create and use linear- and power-regression based calibration curves
Présentation journée d'étude chiffres privés, chiffres publics (31 mai 2017) Open Data & Santé
Aquatic plastic litter detection, classification and quantification
Docker to run sailfish for quantification of isoform abundance
Quantification of helical morphologies
This is a read-only mirror of the Bioconductor SVN repository. Package Homepage: http://bioconductor.org/packages/devel/bioc/html/cosmiq.html Contributions: http://www.bioconductor.org/packages/devel/bioc/html/cosmiq.html. Bug Reports: https://support.bioconductor.org/p/new/post/?tag_val=cosmiq.
UNDER CONSTRUCTION: CRISPR sgRNA quantification pipeline
Deeep learning model for quantifying spatilized j-resolved Magnetic Resonance Spectroscopy
CWL descriptions for FragPipe Proteomics Pipline
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