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This list of protein subcellular localisation prediction tools includes software, databases, and web services that are used for protein subcellular localization prediction. Some tools are included that are commonly used to infer location through predicted structural properties, such as signal peptide or transmembrane helices , and these tools ...
ImageJ's plugin architecture and built-in development environment has made it a popular platform for teaching image processing. [ 10 ] [ 11 ] ImageJ can be run as an online applet , a downloadable application, or on any computer with a Java 5 or later virtual machine .
Screenshot of Fiji in Windows 11. Fiji [4] [5] is an open source image processing package based on ImageJ2. Fiji's main purpose is to provide a distribution of ImageJ2 with many bundled plugins. Fiji features an integrated updating system and aims to provide users with a coherent menu structure, extensive documentation in the form of detailed ...
Colocalization is used in real-time single-molecule fluorescence microscopy to detect interactions between fluorescently labeled molecular species. In this case, one species (e.g. a DNA molecule) is typically immobilized on the imaging surface, and the other species (e.g. a DNA-binding protein) is supplied to the solution.
The Colocalization Benchmark Source (CBS) is a free collection of downloadable images to test and validate the degree of colocalization of markers in any fluorescence microscopy studies. Colocalization is a visual phenomenon when two molecules of interest are associated with the same structures in the cells and potentially share common ...
Implementation of Otsu's thresholding method as GIMP-plugin using Script-Fu (a Scheme-based language) Lecture notes on thresholding – covers the Otsu method; A plugin for ImageJ using Otsu's method to do the threshold; A full explanation of Otsu's method with a working example and Java implementation; Implementation of Otsu's method in ITK
Dragon Promoter Finder Program to recognize vertebrate RNA polymerase II promoters: Vertebrates [7] EasyGene: The gene finder is based on a hidden Markov model (HMM) that is automatically estimated for a new genome. Prokaryotes [8] [9] EuGene: Integrative gene finding: Prokaryotes, Eukaryotes [10] [11] FGENESH
BEAST [10] Bayesian Evolutionary Analysis Sampling Trees: Bayesian inference, relaxed molecular clock, demographic history: A. J. Drummond, M. A. Suchard, D Xie & A. Rambaut BioNumerics: Universal platform for the management, storage and analysis of all types of biological data, including tree and network inference of sequence data