1.

Record Nr.

UNISA996418204403316

Titolo

Algorithms for Computational Biology [[electronic resource] ] : 7th International Conference, AlCoB 2020, Missoula, MT, USA, April 13–15, 2020, Proceedings / / edited by Carlos Martín-Vide, Miguel A. Vega-Rodríguez, Travis Wheeler

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020

ISBN

3-030-42266-6

Edizione

[1st ed. 2020.]

Descrizione fisica

1 online resource (XVIII, 199 p. 111 illus., 34 illus. in color.)

Collana

Lecture Notes in Bioinformatics ; ; 12099

Disciplina

570.285

Soggetti

Bioinformatics

Artificial intelligence

Algorithms

Computer organization

Computers

Software engineering

Computational Biology/Bioinformatics

Artificial Intelligence

Algorithm Analysis and Problem Complexity

Computer Systems Organization and Communication Networks

Information Systems and Communication Service

Software Engineering/Programming and Operating Systems

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di contenuto

Genomics -- Parallel Generalized Su x Tree Construction for Genomic Data -- A 3.5-Approximation Algorithm for Sorting by Intergenic Transpositions -- Heuristics for Reversal Distance between Genomes with Duplicated Genes -- Extending Maximal Perfect Haplotype Blocks to the Realm of Pangenomics -- Gaps and Runs in Syntenic Alignments -- Phylogenetics -- Comparing Integer Linear Programming to SAT-Solving for Hard Problems in Computational and Systems Biology -- Combining Networks Using Cherry Picking Sequences -- Linear Time



Algorithm for Tree-Child Network Containment -- PathOGiST: A Novel Method for Clustering Pathogen Isolates by Combining Multiple Genotyping Signals -- TreeSolve: Rapid Error-Correction of Microbial Gene Trees -- RNA-Seq and Other Biological Processes -- Time Series Adjustment Enhancement of Hierarchical Modeling of Arabidopsis Thaliana Gene Interactions -- BESTox: A Convolutional Neural Network Regression Model Based on Binary-Encoded SMILES for Acute Oral Toxicity Prediction of Chemical Compounds -- Stratified Test Alleviates Batch Effects in Single-Cell Data -- A Topological Data Analysis Approach on Predicting Phenotypes from Gene Expression Data -- BOAssembler: A Bayesian Optimization Framework to Improve RNA-Seq Assembly Performance.

Sommario/riassunto

This book constitutes the proceedings of the 7th International Conference on Algorithms for Computational Biology, AlCoB 2020, was planned to be held in Missoula, MT, USA in April 2020. Due to the corona pandemic the conference was postponed to be held together with AlCoB 2021. The 15 full papers included in this volume were carefully reviewed and selected from 24 submissions. They were organized in topical sections on genomics, phylogenetics, and RNA-Seq and other biological processes. .



2.

Record Nr.

UNINA9910786708403321

Autore

Keady Robert

Titolo

Equipment inventories for owners and facility managers : standards, strategies and best practices / / Robert A. Keady, Jr, CEM, FMP

Pubbl/distr/stampa

Hoboken, New Jersey : , : John Wiley & Sons, Inc., , [2013]

©2013

ISBN

1-118-55485-X

1-118-55529-5

Descrizione fisica

1 online resource (462 p.)

Disciplina

658.7/87

Soggetti

Industrial equipment - Inventories

Inventory control

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

"Published simultaneously in Canada"--Title page verso.

Includes index.

Nota di contenuto

Financial and Resource Impact of Equipment Inventories on Facilities -- Equipment Inventory Types and Systems -- Industry Standards -- Equipment Data Points -- Equipment Identification and Tags -- Inventorying Equipment -- Appendix 1: Equipment Data Usage and Cross Reference Worksheet -- Appendix 2: Process Flow Maps.

Sommario/riassunto

The National Institute of Science and Technology estimates that the loss of information between the construction of a building and the operation and maintenance of that building results in a 15.8 billion dollar loss annually.  The loss is due to inconsistent standards for how to capture information about the facility and its equipment. Drawing upon his twenty plus years of experience in facility management and his intimate knowledge of CSI classification systems and standards, Robert Keady tackles this problem head-on. Using industry standards that are already in use in the AEC industry, Ke