MARC details
000 -LIDER |
fixed length control field |
04947nam a22006135i 4500 |
001 - CONTROL NUMBER |
control field |
978-3-319-98839-9 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20210201191359.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
fixed length control field |
cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
fixed length control field |
180925s2018 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783319988399 |
-- |
978-3-319-98839-9 |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QH324.2-324.25 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
PSA |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
COM014000 |
Source |
bisacsh |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
PSA |
Source |
thema |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UB |
Source |
thema |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
570.285 |
Edition number |
23 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Mrozek, Dariusz. |
Relator term |
author. |
Authority record control number |
(orcid)0000-0001-6764-6656 |
-- |
https://orcid.org/0000-0001-6764-6656 |
Relator code |
aut |
-- |
http://id.loc.gov/vocabulary/relators/aut |
245 10 - TITLE STATEMENT |
Title |
Scalable Big Data Analytics for Protein Bioinformatics |
Medium |
[electronic resource] : |
Remainder of title |
Efficient Computational Solutions for Protein Structures / |
Statement of responsibility, etc. |
by Dariusz Mrozek. |
250 ## - EDITION STATEMENT |
Edition statement |
1st ed. 2018. |
264 #1 - |
-- |
Cham : |
-- |
Springer International Publishing : |
-- |
Imprint: Springer, |
-- |
2018. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XXVI, 315 p. 151 illus., 110 illus. in color. |
Other physical details |
online resource. |
336 ## - |
-- |
text |
-- |
txt |
-- |
rdacontent |
337 ## - |
-- |
computer |
-- |
c |
-- |
rdamedia |
338 ## - |
-- |
online resource |
-- |
cr |
-- |
rdacarrier |
347 ## - |
-- |
text file |
-- |
PDF |
-- |
rda |
490 1# - SERIES STATEMENT |
Series statement |
Computational Biology, |
International Standard Serial Number |
1568-2684 ; |
Volume/sequential designation |
28 |
500 ## - GENERAL NOTE |
General note |
Acceso multiusuario |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
Formal Model of 3D Protein Structures for Functional Genomics, Comparative Bioinformatics, and Molecular Modeling -- Multithreaded PSS-SQL for Searching Databases of Secondary Structures -- GPU and CUDA for 3D Protein Structure Similarity Searching -- Cloud Computing for 3D Protein Structure Alignment -- General Discussion and Concluding Remarks. |
520 ## - SUMMARY, ETC. |
Summary, etc. |
This book presents a focus on proteins and their structures. The text describes various scalable solutions for protein structure similarity searching, carried out at main representation levels and for prediction of 3D structures of proteins. Emphasis is placed on techniques that can be used to accelerate similarity searches and protein structure modeling processes. The content of the book is divided into four parts. The first part provides background information on proteins and their representation levels, including a formal model of a 3D protein structure used in computational processes, and a brief overview of the technologies used in the solutions presented in the book. The second part of the book discusses Cloud services that are utilized in the development of scalable and reliable cloud applications for 3D protein structure similarity searching and protein structure prediction. The third part of the book shows the utilization of scalable Big Data computational frameworks, like Hadoop and Spark, in massive 3D protein structure alignments and identification of intrinsically disordered regions in protein structures. The fourth part of the book focuses on finding 3D protein structure similarities, accelerated with the use of GPUs and the use of multithreading and relational databases for efficient approximate searching on protein secondary structures. The book introduces advanced techniques and computational architectures that benefit from recent achievements in the field of computing and parallelism. Recent developments in computer science have allowed algorithms previously considered too time-consuming to now be efficiently used for applications in bioinformatics and the life sciences. Given its depth of coverage, the book will be of interest to researchers and software developers working in the fields of structural bioinformatics and biomedical databases. |
541 ## - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Owner |
UABC ; |
Method of acquisition |
Temporal ; |
Date of acquisition |
01/01/2021-12/31/2023. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Bioinformatics. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computer communication systems. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Proteins . |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Biomathematics. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computational Biology/Bioinformatics. |
-- |
https://scigraph.springernature.com/ontologies/product-market-codes/I23050 |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Computer Communication Networks. |
-- |
https://scigraph.springernature.com/ontologies/product-market-codes/I13022 |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Protein Structure. |
-- |
https://scigraph.springernature.com/ontologies/product-market-codes/L14050 |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Bioinformatics. |
-- |
https://scigraph.springernature.com/ontologies/product-market-codes/L15001 |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Término temático o nombre geográfico como elemento de entrada |
Mathematical and Computational Biology. |
-- |
https://scigraph.springernature.com/ontologies/product-market-codes/M31000 |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY |
Title |
Springer Nature eBook |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9783319988382 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9783319988405 |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Relationship information |
Printed edition: |
International Standard Book Number |
9783030075385 |
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE |
Uniform title |
Computational Biology, |
-- |
1568-2684 ; |
Volume number/sequential designation |
28 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Public note |
Libro electrónico |
Uniform Resource Identifier |
http://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-98839-9 |
912 ## - |
-- |
ZDB-2-SCS |
912 ## - |
-- |
ZDB-2-SXCS |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Koha item type |
Libro Electrónico |