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Algorithms for Computational Biology, Adrian-Horia Dediu; Carlos Mart?n-Vide; Bianca Tru


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Автор: Adrian-Horia Dediu; Carlos Mart?n-Vide; Bianca Tru
Название:  Algorithms for Computational Biology
ISBN: 9783319079523
Издательство: Springer
Классификация:




ISBN-10: 3319079522
Обложка/Формат: Paperback
Страницы: 275
Вес: 0.41 кг.
Дата издания: 05.08.2014
Серия: Lecture Notes in Bioinformatics
Язык: English
Размер: 234 x 156 x 16
Основная тема: Computer Science
Подзаголовок: First International Conference, AlCoB 2014, Tarragona, Spain, July 1-3, 2014, Proceedings
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

Comparative Genomics Approaches to Identifying Functionally Related Genes.- A Greedy Algorithm for Hierarchical Complete Linkage Clustering.- Vesters Sensitivity Model for Genetic Networks with Time-Discrete Dynamics.- Complexity and Polynomial-Time Approximation Algorithms around the Scaffolding Problem.- Heuristics for the Sorting by Length-Weighted Inversions Problem on Signed Permutations.- On Low Treewidth Graphs and Supertrees.- On Optimal Read Trimming in Next Generation Sequencing and Its Complexity.- On the Implementation of Quantitative Model Refinement.- HapMonster: A Statistically Unified Approach for Variant Calling and Haplotyping Based on Phase-Informative Reads.- Mapping-Free and Assembly-Free Discovery of Inversion Breakpoints from Raw NGS Reads.- Modeling the Geometry of the Endoplasmic Reticulum Network.- On Sorting of Signed Permutations by Prefix and Suffix Reversals and Transpositions.- On the Diameter of Rearrangement Problems.- Efficiently Enumerating All Connected Induced Subgraphs of a Large Molecular Network.- On Algorithmic Complexity of Biomolecular Sequence Assembly Problem.- A Closed-Form Solution for Transcription Factor Activity Estimation Using Network Component Analysis.- SVEM: A Structural Variant Estimation Method Using Multi-mapped Reads on Breakpoints.- Analysis and Classification of Constrained DNA Elements with N-gram Graphs and Genomic Signatures.- Inference of Boolean Networks from Gene Interaction Graphs Using a SAT Solver.- RRCA: Ultra-Fast Multiple In-species Genome Alignments.- Exact Protein Structure Classification Using the Maximum Contact Map Overlap Metric.




Algorithms in Bioinformatics

Автор: Sung
Название: Algorithms in Bioinformatics
ISBN: 1420070339 ISBN-13(EAN): 9781420070330
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание: Presents an introduction to the algorithmic techniques applied in bioinformatics. For each topic, this title details the biological motivation, defines the corresponding computational problems, and includes examples to illustrate each algorithm.

Algorithms for Computational Biology

Автор: Bot?n-Fern?ndez
Название: Algorithms for Computational Biology
ISBN: 3319388266 ISBN-13(EAN): 9783319388267
Издательство: Springer
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Цена: 5870.00 р.
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Описание: This book constitutes the proceedings of the Third InternationalConference on Algorithms for Computational Biology, AlCoB 2016, held inTrujillo, Spain, in June 2016. The 13 full papers presented in this volume were carefully reviewed andselected from 23 submissions.

Molecular Biology  Principles of Genome Function

Автор: Craig Nancy
Название: Molecular Biology Principles of Genome Function
ISBN: 0199658579 ISBN-13(EAN): 9780199658572
Издательство: Oxford Academ
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Цена: 9186.00 р.
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Описание: A fresh, distinctive approach to the teaching of molecular biology. With its focus on key principles, its emphasis on the commonalities that exist between the three kingdoms of life, and its integrated coverage of experimental methods and approaches, Molecular Biology is the perfect companion to any molecular biology course.

Advances in Computational Algorithms and Data Analysis

Название: Advances in Computational Algorithms and Data Analysis
ISBN: 9048180279 ISBN-13(EAN): 9789048180271
Издательство: Springer
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Цена: 27251.00 р.
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Описание: This text is a compendium of revised and extended articles written for the international conference on Advances in Computational Algorithms and Data Analysis. It presents state-of-the-art advances in the field through discussion of various topics.

Advances in Computational Algorithms and Data Analysis

Название: Advances in Computational Algorithms and Data Analysis
ISBN: 140208918X ISBN-13(EAN): 9781402089183
Издательство: Springer
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Цена: 27251.00 р.
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Описание: Advances in Computational Algorithms and Data Analysis offers state of the art tremendous advances in computational algorithms and data analysis. The volume serves as an excellent reference work for researchers and graduate students working on computational algorithms and data analysis.

Algorithms for Computational Biology

Автор: Daniel Figueiredo; Carlos Mart?n-Vide; Diogo Prata
Название: Algorithms for Computational Biology
ISBN: 3319581627 ISBN-13(EAN): 9783319581620
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book constitutes the proceedings of the 4th InternationalConference on Algorithms for Computational Biology, AlCoB 2017, held in Aveiro, Portugal, in June 2017. The 10 full papers presented together with 2 invited papers were carefully reviewed and selected from 24 submissions.

Simulation Algorithms for Computational Systems Biology

Автор: Luca Marchetti; Corrado Priami; Vo Hong Thanh
Название: Simulation Algorithms for Computational Systems Biology
ISBN: 331963111X ISBN-13(EAN): 9783319631110
Издательство: Springer
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Цена: 7965.00 р.
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Описание: Starting from basic simulation algorithms, the book also introduces more advanced techniques that support delays, diffusion in space, or that are based on hybrid simulation strategies.This is a valuable self-contained resource for graduate students and practitioners in computer science, biology and bioinformatics.


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