Eroma Abeysinghe
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Eroma Abeysinghe has a total of 12 co-authors. Here are the top co-authors by number of shared publications:
- Marlon Pierce
Indiana University, USA
3 shared publications - Suresh Marru
Center for Artificial Intelligence in Science and Engineering, Georgia Institute of Technology, Atlanta, GA, USA
3 shared publications - Marcus A. Christie
Science Gateways Research Center, Pervasive Technology Institute, Indiana University, Bloomington, Indiana 47408, USA
2 shared publications - Anuj Bhandar
Intuit, USA
1 shared publication - Charles G. Danko
Cornell University
1 shared publication - Eric Coulter
Cyberinfrastructure Integration Research Center Indiana University Bloomington IN USA
1 shared publication
Latest Publications
- 1 October 2020
- Published by Elsevier in Future Generation Computer Systems
- Vol. 111, 780-785
Managing authentication and authorization in distributed science gateway middleware
- 1 October 2020
- Published by Elsevier in Future Generation Computer Systems
- Vol. 111, 780-785
Managing authentication and authorization in distributed science gateway middleware
- Open Access
- 26 July 2020
- Published by Association for Computing Machinery (ACM)
- Vol. 2020, 461-464
TopPIC Gateway: A Web Gateway for Top-Down Mass Spectrometry Data Interpretation
Top-down mass spectrometry-based proteomics has become the method of choice for identifying and quantifying intact proteoforms in biological samples. We present a web-based gateway for TopPIC suite, a widely used software suite consisting of four software tools for top-down mass spectrometry data interpretation: TopFD, TopPIC, TopMG, and TopDiff. The gateway enables the community to use heterogeneous collection of computing resources that includes high performance computing clusters at Indiana University and virtual clusters on XSEDE’s Jetstream Cloud resource for top-down mass spectral data analysis using TopPIC suite. The gateway will be a useful resource for proteomics researchers and students who have limited access to high-performance computing resources or who are not familiar with interacting with server-side supercomputers.
- 26 July 2020
- Published by Association for Computing Machinery (ACM)
- Vol. 2020, 461-464
Open AccessTopPIC Gateway: A Web Gateway for Top-Down Mass Spectrometry Data Interpretation
Top-down mass spectrometry-based proteomics has become the method of choice for identifying and quantifying intact proteoforms in biological samples. We present a web-based gateway for TopPIC suite, a widely used software suite consisting of four software tools for top-down mass spectrometry data interpretation: TopFD, TopPIC, TopMG, and TopDiff. The gateway enables the community to use heterogeneous collection of computing resources that includes high performance computing clusters at Indiana University and virtual clusters on XSEDE’s Jetstream Cloud resource for top-down mass spectral data analysis using TopPIC suite. The gateway will be a useful resource for proteomics researchers and students who have limited access to high-performance computing resources or who are not familiar with interacting with server-side supercomputers.
- Open Access
- 22 July 2018
- Published by Association for Computing Machinery (ACM)
- Vol. 2018, 1-7
Building a Science Gateway For Processing and Modeling Sequencing Data Via Apache Airavata
The amount of DNA sequencing data has been exponentially growing during the past decade due to advances in sequencing technology. Processing and modeling large amounts of sequencing data can be computationally intractable for desktop computing platforms. High performance computing (HPC) resources offer advantages in terms of computing power, and can be a general solution to these problems. Using HPCs directly for computational needs requires skilled users who know their way around HPCs and acquiring such skills take time. Science gateways acts as the middle layer between users and HPCs, providing users with the resources to accomplish compute-intensive tasks without requiring specialized expertise. We developed a web-based computing platform for genome biologists by customizing the PHP Gateway for Airavata (PGA) framework that accesses publicly accessible HPC resources via Apache Airavata. This web computing platform takes advantage of the Extreme Science and Engineering Discovery Environment (XSEDE) which provides the resources for gateway development, including access to CPU, GPU, and storage resources. We used this platform to develop a gateway for the dREG algorithm, an online computing tool for finding functional regions in mammalian genomes using nascent RNA sequencing data. The dREG gateway provides its users a free, powerful and user-friendly GPU computing resource based on XSEDE, circumventing the need of specialized knowledge about installation, configuration, and execution on an HPC for biologists. The dREG gateway is available at: https://dREG.dnasequence.org/.
- 22 July 2018
- Published by Association for Computing Machinery (ACM)
- Vol. 2018, 1-7
Open AccessBuilding a Science Gateway For Processing and Modeling Sequencing Data Via Apache Airavata
The amount of DNA sequencing data has been exponentially growing during the past decade due to advances in sequencing technology. Processing and modeling large amounts of sequencing data can be computationally intractable for desktop computing platforms. High performance computing (HPC) resources offer advantages in terms of computing power, and can be a general solution to these problems. Using HPCs directly for computational needs requires skilled users who know their way around HPCs and acquiring such skills take time. Science gateways acts as the middle layer between users and HPCs, providing users with the resources to accomplish compute-intensive tasks without requiring specialized expertise. We developed a web-based computing platform for genome biologists by customizing the PHP Gateway for Airavata (PGA) framework that accesses publicly accessible HPC resources via Apache Airavata. This web computing platform takes advantage of the Extreme Science and Engineering Discovery Environment (XSEDE) which provides the resources for gateway development, including access to CPU, GPU, and storage resources. We used this platform to develop a gateway for the dREG algorithm, an online computing tool for finding functional regions in mammalian genomes using nascent RNA sequencing data. The dREG gateway provides its users a free, powerful and user-friendly GPU computing resource based on XSEDE, circumventing the need of specialized knowledge about installation, configuration, and execution on an HPC for biologists. The dREG gateway is available at: https://dREG.dnasequence.org/.