High-performance algorithms for mass spectrometry-based omics / (Record no. 14174)
[ view plain ]
000 -LEADER | |
---|---|
fixed length control field | 02708cam a2200265 i 4500 |
INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783031019609 |
INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 3031019601 |
DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | QL368 .S24 2022 |
Item number | 1 |
MAIN ENTRY--AUTHOR NAME | |
Personal name | Saeed, Fahad, |
TITLE STATEMENT | |
Title | High-performance algorithms for mass spectrometry-based omics / |
Statement of responsibility, etc | Fahad Saeed, Muhammad Haseeb |
Copyright Date | |
Place of publication | Cham : |
Name of publisher | Springer, |
Year of publication or production | [2022] |
Copyright Date | |
Year of publication or production | ©2022 |
PHYSICAL DESCRIPTION | |
Number of Pages | 1 online resource (xvi, 140 pages) : |
Other physical details | illustrations (chiefly color) |
SERIES STATEMENT | |
Series statement | Computational biology, |
FORMATTED CONTENTS NOTE | |
Formatted contents note | 1. Need for High Performance Computing for Big MS Data -- 2. Introduction to Mass Spectrometry Data -- 3. A Review of Spectral Pre-processing -- 4. MS-REDUCE: An Ultra Data Reduction Algorithm -- 5. GPU-DAEMON: A Template to Support Development of GPU Algorithms -- 6. GPU-ArraySort: GPU Based Array Sorting Technique -- 7. G-MSR: A GPU Based Dimensionality Reduction Algorithm -- 8. Simulator Driven Proteomics -- 9. Future and Proposed Work |
SUMMARY, ETC. | |
Summary, etc | To date, processing of high-throughput Mass Spectrometry (MS) data is accomplished using serial algorithms. Developing new methods to process MS data is an active area of research but there is no single strategy that focuses on scalability of MS based methods. Mass spectrometry is a diverse and versatile technology for high-throughput functional characterization of proteins, small molecules and metabolites in complex biological mixtures. In the recent years the technology has rapidly evolved and is now capable of generating increasingly large (multiple tera-bytes per experiment) and complex (multiple species/microbiome/high-dimensional) data sets. This rapid advance in MS instrumentation must be matched by equally fast and rapid evolution of scalable methods developed for analysis of these complex data sets. Ideally, the new methods should leverage the rich heterogeneous computational resources available in a ubiquitous fashion in the form of multicore, manycore, CPU-GPU, CPU-FPGA, and IntelPhi architectures. The absence of these high-performance computing algorithms now hinders scientific advancements for mass spectrometry research. In this book we illustrate the need for high-performance computing algorithms for MS based proteomics, and proteogenomics and showcase our progress in developing these high-performance algorithms |
SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Mass spectrometry |
SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | High performance computing. |
SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical Term | Computer algorithms. |
ADDED ENTRY--PERSONAL NAME | |
Personal name | Haseeb, Muhammad, |
ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://rave.ohiolink.edu/ebooks/ebc2/9783031019609 |
ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://link.springer.com/10.1007/978-3-031-01960-9 |
ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://go.ohiolink.edu/goto?url=https://link.springer.com/10.1007/978-3-031-01960-9 |
ADDED ENTRY ELEMENTS (KOHA) | |
Source of classification or shelving scheme | Library of Congress Classification |
Koha item type | Books |
Permanent Location | Current Location | Date acquired | Full call number | Accession Number | Koha item type |
---|---|---|---|---|---|
Gabriel Afolabi Ojo Central Library (Headquarters). | Gabriel Afolabi Ojo Central Library (Headquarters). | 11/07/2024 | QL368 .S24 2022 | 0194729 | Books |
Gabriel Afolabi Ojo Central Library (Headquarters). | Gabriel Afolabi Ojo Central Library (Headquarters). | 11/07/2024 | QL368 .S24 2022 | 0194730 | Books |