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cellXpess :: Cellular Phenotype Profiling Software PlatformcellXpress
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cellXpess :: Cellular Phenotype Profiling Software Platform | cellxpress.org Reviews
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4. Quantifying cellular phenotypes
http://www.cellxpress.org/manual/quantify_phenotypes_chapter.html
Plates, projects and markersets). Working with projects and markersets. Perform quick plate analysis (QC). Load data in R. Load data in R. Generate profiles for large dataset. CellXpress pro 1.0. 4 Quantifying cellular phenotypes. Quick plate analysis: quality control of the acquired images. Multi-dimensional profile-building using R. Implemented in ImageJ. This algorithm has only one parameter, the size of rolling ball, which should be set to at least the size of the largest object that is not part ...
2. Quick Start
http://www.cellxpress.org/manual/quick_start_chapter.html
Plates, projects and markersets). Working with projects and markersets. Perform quick plate analysis (QC). Load data in R. Load data in R. Generate profiles for large dataset. CellXpress pro 1.0. Start the cellXpress and load an existing project. Browse and select a set of wells to work with. Identify and segment individual cells in images. Extract high-content features for individual cells. Visualize the results for a plate or experiment. 21 Starting the cellXpress. 22 Loading an existing project. CellX...
8. Multivariate d-profiling
http://www.cellxpress.org/manual/profiling_chapter.html
Plates, projects and markersets). Working with projects and markersets. Perform quick plate analysis (QC). Load data in R. Load data in R. Generate profiles for large dataset. CellXpress pro 1.0. Hyperplanes separating treated and control cells to identify these features. 81 Loading data into R. To load data into R, the user first create a list containing information about your experiment. The list needs to contain the following information:. Platetype.list = 96/384. Wells = list of well positions. After...
7. The cellViewer interface
http://www.cellxpress.org/manual/cellViewer_chapter.html
Plates, projects and markersets). Working with projects and markersets. Perform quick plate analysis (QC). Load data in R. Load data in R. Generate profiles for large dataset. CellXpress pro 1.0. 7 The cellViewer interface. The cellViewer is an image viewing interface that allows you to:. Browse and visualize raw or processed image data acquired from plates. Interactively tune cell segmentation parameters, with "live" preview. Evaluate cell segmentation and feature extraction results. 71 The Navigate menu.
1. Introduction
http://www.cellxpress.org/manual/introduction_chapter.html
Plates, projects and markersets). Working with projects and markersets. Perform quick plate analysis (QC). Load data in R. Load data in R. Generate profiles for large dataset. CellXpress pro 1.0. The cellXpress is a data-analysis platform designed to manage and analyze microscopy images acquired from high-throughput experiments. cellXpress efficiently processes terabytes of image data and performs quantitative analysis on millions of individual cells under different experimental conditions. Users...Image...
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Protein Localization Analysis and Search Tools
http://plast.bii.a-star.edu.sg/publication.php
PLAST Protein Localization Analysis and Search Tools (version 1.0). Quantitative Protein Localization Signatures Reveal an Association between Spatial and Functional Divergences of Proteins. Lit-Hsin Loo, Danai Laksameethanasan, Yi-Ling Tung. Bioinformatics Institute, A*STAR, Singapore. PLoS Computational Biology 10(3): e1003504 (2014). File name (file size). Yeast localization map.csv (5.2MB). Supplementary Data 1: Global subcellular localization map of the budding yeast Saccharomyces cerevisiae. Option...
Protein Localization Analysis and Search Tools
http://plast.bii.a-star.edu.sg/acknowledgments.php
PLAST Protein Localization Analysis and Search Tools (version 1.0). PLAST uses the following third-party resources:. Saccharomyces Genome Database (SGD). The UCSF yeast GFP image dataset ( Huh, et. al., Nature, 2003. We thank Prof. Erin O'Shea for giving us the permission to use the images. The website was designed by.
Protein Localization Analysis and Search Tools
http://plast.bii.a-star.edu.sg/index.php
PLAST Protein Localization Analysis and Search Tools (version 1.0). PLAST is an automated analysis framework for constructing and comparing quantitative signatures of protein subcellular localization images based on microscopy images. Step 1 - Please select a query type:. Search for proteins localized at a subcellular compartment: S.cerevisiae (Budding Yeast), UCSF GFP. Search for proteins with similar localization patterns: S.cerevisiae (Budding Yeast), UCSF GFP.
The Loo lab @ Bioinformatics Institute
http://web.bii.a-star.edu.sg/~loolh
Our research is focused on the development of in vitro and computational models for predicting the toxicity and/or targets of chemical compounds. We develop novel cellular phenotypic profiling methods and tools that can automatically classify the effects of compounds with diverse or even unknown chemical structures. These technologies allow us to build highly accurate and scalable in vitro cell-based models for predicting organ-specific toxicities. Our models can be used as high-throughput al...We develo...
Bioinformatics Institute
http://www.bii.a-star.edu.sg/index.php
APD Colony Counter App: Using Watershed Algorithm for improved colony counting. Reactivation of mutant p53: Constraints on mechanism highlighted by principal component analysis of the DNA binding domain. PP2ACdc55's role in reductional chromosome segregation during achiasmate meiosis in budding yeast is independent of its FEAR function. PDK1-SGK1 signaling sustains AKT-independent mTORC1 activation and confers resistance to PI3Kα inhibition. Tue, 23 Aug 2016. 10-12 October, 2016.
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cellXpess :: Cellular Phenotype Profiling Software Platform
Plates, projects and markersets). Working with projects and markersets. Perform quick plate analysis (QC). Load data in R. Load data in R. Generate profiles for large dataset. CellXpress pro 1.4.2. Written in C/C and optimized for modern 64-bit and multi-core CPUs. Support parallel processing and dynamic job scheduling for high-throughput applications. Is a cellular phenotype profiling software platform developed by the Loo Lab. At the Bioinformatics Institute. CellXpress pro 1.4.2. Pro 14.1 is avail...
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