Výsledky vyhledávání - "Teasdale Rohan D"

Akademický článek

Evaluation and comparison of mammalian subcellular localization prediction methods

Autor: Fink J Lynn, Sprenger Josefine, Teasdale Rohan D

Publikováno v: BMC Bioinformatics, Vol 7, Iss Suppl 5, p S3 (2006)

Abstract Background Determination of the subcellular location of a protein is essential to understanding its biochemical function. This information can provide insight into the function of hypothetical or novel proteins. These data are difficult to o

Externí odkaz: https://doaj.org/article/0ba80d681f1641d7b7c4de263874316d

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Akademický článek

Statistical and visual differentiation of subcellular imaging

Autor: Hamilton Nicholas A, Wang Jack TH, Kerr Markus C, Teasdale Rohan D

Publikováno v: BMC Bioinformatics, Vol 10, Iss 1, p 94 (2009)

Abstract Background Automated microscopy technologies have led to a rapid growth in imaging data on a scale comparable to that of the genomic revolution. High throughput screens are now being performed to determine the localisation of all of proteins

Externí odkaz: https://doaj.org/article/97399cd9ccbd47cfb0ad9e13267485bc

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Akademický článek

A role for SNX5 in the regulation of macropinocytosis

Autor: Gleeson Paul A, Teasdale Rohan D, Kerr Markus C, Wang Jack TH, Lim Jet

Publikováno v: BMC Cell Biology, Vol 9, Iss 1, p 58 (2008)

Abstract Background The mechanisms and components that regulate macropinocytosis are poorly understood. Here we have investigated the role of sorting nexin 5 (SNX5) in the regulation of macropinocytic activity. Results SNX5 is abundantly expressed in

Externí odkaz: https://doaj.org/article/6caf65b71f1749ee997f6a0a5032c57c

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Akademický článek

Visualizing and clustering high throughput sub-cellular localization imaging

Autor: Hamilton Nicholas A, Teasdale Rohan D

Publikováno v: BMC Bioinformatics, Vol 9, Iss 1, p 81 (2008)

Abstract Background The expansion of automatic imaging technologies has created a need to be able to efficiently compare and review large sets of image data. To enable comparisons of image data between samples we need to define the normal variation w

Externí odkaz: https://doaj.org/article/ed51b139373e4097a21229af4cf7c232

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Akademický článek

Fast automated cell phenotype image classification

Autor: Pantelic Radosav S, Hamilton Nicholas A, Hanson Kelly, Teasdale Rohan D

Publikováno v: BMC Bioinformatics, Vol 8, Iss 1, p 110 (2007)

Abstract Background The genomic revolution has led to rapid growth in sequencing of genes and proteins, and attention is now turning to the function of the encoded proteins. In this respect, microscope imaging of a protein's sub-cellular localisation

Externí odkaz: https://doaj.org/article/eef47d6cdf234945809aef2affb74ff8

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Akademický článek

PhosphoregDB: The tissue and sub-cellular distribution of mammalian protein kinases and phosphatases

Autor: Suzuki Harukazu, Flegg Cameron, Teasdale Rohan D, Gongora M Milena, Fink J Lynn, Taylor Darrin F, Forrest Alistair RR, Kanamori Mutsumi, Kai Chikatoshi, Hayashizaki Yoshihide, Grimmond Sean M

Publikováno v: BMC Bioinformatics, Vol 7, Iss 1, p 82 (2006)

Abstract Background Protein kinases and protein phosphatases are the fundamental components of phosphorylation dependent protein regulatory systems. We have created a database for the protein kinase-like and phosphatase-like loci of mouse http://phos

Externí odkaz: https://doaj.org/article/dc7293a47fa844878856a2521e80af7c

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