Determining the subcellular location of new proteins from microscope images using local features

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Determining the subcellular location of new proteins from microscope images using local features

MOTIVATION Evaluation of previous systems for automated determination of subcellular location from microscope images has been done using datasets in which each location class consisted of multiple images of the same representative protein. Here, we frame a more challenging and useful problem where previously unseen proteins are to be classified. RESULTS Using CD-tagging, we generated two new ...

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The overall object of proteomics is to characterize all of the proteins expressed in a given cell type. With the rapid development of random gene tagging technology and high resolution fluorescence microscopy, it has become possible to generate libraries of digital images depicting the location patterns of most proteins in any given cell type. While the subcellular location of a protein is impo...

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Robust classification of subcellular location patterns in fluorescence microscope images

The ongoing biotechnology revolution promises a complete understanding of the mechanisms by which cells and tissues carry out their functions. Central to that goal is the determination of the function of each protein that is present in a given cell type, and determining a protein's location within cells is critical to understanding its function. As large amounts of data become available from ge...

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Robust Numerical Features for Description and Classification of Subcellular Location Patterns in Fluorescence Microscope Images

The ongoing biotechnology revolution promises a complete understanding of the mechanisms by which cells and tissues carry out their functions. Central to that goal is the determination of the function of each protein that is present in a given cell type, and determining a protein’s location within cells is critical to understanding its function. As large amounts of data become available from ge...

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Improvements in Determining Protein Subcellular Location

Knowing where a protein occurs in the cell is an important step towards understanding its function [1]. Hence, a method for accurately predicting the subcellular location would be valuable in interpreting the data being provided by sequencing projects. Among some methods (e.g. search for signal peptides, infer the location by sequence homology) the correlation between the total aminoacid compos...

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ژورنال

عنوان ژورنال: Bioinformatics

سال: 2013

ISSN: 1460-2059,1367-4803

DOI: 10.1093/bioinformatics/btt392