PDB-Hadoop : Parallelising user applications on the protein databank using Apache Hadoop. / AlNasir, Jamie; Shanahan, Hugh.

2015. Poster session presented at 3DSig Structural Bioinformatics and Computational Biophysics 2015, Dublin, Ireland.

Research output: Contribution to conferencePoster

Published

Standard

PDB-Hadoop : Parallelising user applications on the protein databank using Apache Hadoop. / AlNasir, Jamie; Shanahan, Hugh.

2015. Poster session presented at 3DSig Structural Bioinformatics and Computational Biophysics 2015, Dublin, Ireland.

Research output: Contribution to conferencePoster

Harvard

AlNasir, J & Shanahan, H 2015, 'PDB-Hadoop: Parallelising user applications on the protein databank using Apache Hadoop' 3DSig Structural Bioinformatics and Computational Biophysics 2015, Dublin, Ireland, 10/07/15 - 11/07/15, .

APA

AlNasir, J., & Shanahan, H. (2015). PDB-Hadoop: Parallelising user applications on the protein databank using Apache Hadoop. Poster session presented at 3DSig Structural Bioinformatics and Computational Biophysics 2015, Dublin, Ireland.

Vancouver

AlNasir J, Shanahan H. PDB-Hadoop: Parallelising user applications on the protein databank using Apache Hadoop. 2015. Poster session presented at 3DSig Structural Bioinformatics and Computational Biophysics 2015, Dublin, Ireland.

Author

AlNasir, Jamie ; Shanahan, Hugh. / PDB-Hadoop : Parallelising user applications on the protein databank using Apache Hadoop. Poster session presented at 3DSig Structural Bioinformatics and Computational Biophysics 2015, Dublin, Ireland.

BibTeX

@conference{36e385c21f7a46aebc67632202913892,
title = "PDB-Hadoop: Parallelising user applications on the protein databank using Apache Hadoop",
abstract = "We present a framework that facilitates parallel execution of protein structure analysis tools to be carried out on the entire (or subsets of) the Protein Databank (PDB) using the Apache Hadoop platform. Our design enables structural Biologists to use the Hadoop platform without having to explicitly write Map-Reduce code. It is easily scalable and uses a mapper architecture that functions on a stand- alone basis or can be extended to include further Map-Reduce operations.",
author = "Jamie AlNasir and Hugh Shanahan",
year = "2015",
month = "7",
language = "English",
note = "3DSig Structural Bioinformatics and Computational Biophysics 2015 ; Conference date: 10-07-2015 Through 11-07-2015",

}

RIS

TY - CONF

T1 - PDB-Hadoop

T2 - Parallelising user applications on the protein databank using Apache Hadoop

AU - AlNasir, Jamie

AU - Shanahan, Hugh

PY - 2015/7

Y1 - 2015/7

N2 - We present a framework that facilitates parallel execution of protein structure analysis tools to be carried out on the entire (or subsets of) the Protein Databank (PDB) using the Apache Hadoop platform. Our design enables structural Biologists to use the Hadoop platform without having to explicitly write Map-Reduce code. It is easily scalable and uses a mapper architecture that functions on a stand- alone basis or can be extended to include further Map-Reduce operations.

AB - We present a framework that facilitates parallel execution of protein structure analysis tools to be carried out on the entire (or subsets of) the Protein Databank (PDB) using the Apache Hadoop platform. Our design enables structural Biologists to use the Hadoop platform without having to explicitly write Map-Reduce code. It is easily scalable and uses a mapper architecture that functions on a stand- alone basis or can be extended to include further Map-Reduce operations.

M3 - Poster

ER -