Multiple Sequence Alignment Methods, David J Russell
Автор: David J Russell Название: Multiple Sequence Alignment Methods ISBN: 1627036458 ISBN-13(EAN): 9781627036450 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Authoritative and practical, Multiple Sequence Alignment Methods provides a readily available resource which will allow practitioners to experiment with different algorithms and find the particular algorithm that is of most use in their application.
Описание: Covers the fundamentals and techniques of multiple biological sequence alignment and analysis, and shows readers how to choose the appropriate sequence analysis tools for their tasks This book describes the traditional and modern approaches in biological sequence alignment and homology search.
Описание: An edited volume describing the latest developments in approaching the problem of polymer sequence analysis, with special emphasis on the most relevant biopolymers (peptides and DNA) but not limited to them.
Автор: Gribskov, Michael; Devereux, John Название: Sequence Analysis Primer (Paperback) ISBN: 0195098749 ISBN-13(EAN): 9780195098747 Издательство: Oxford Academ Рейтинг: Цена: 19404.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book enables researchers to understand and maximize the use of computerized sequence analysis in biotechnological research. Compatible with most sequence analysis programs, the primer covers basic data manipulation, and offers valuable advice for overcoming common problems.
Автор: Dan DeBlasio; John Kececioglu Название: Parameter Advising for Multiple Sequence Alignment ISBN: 3319649175 ISBN-13(EAN): 9783319649177 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book develops a new approach called parameter advising for finding a parameter setting for a sequence aligner that yields a quality alignment of a given set of input sequences. In this framework, a parameter advisor is a procedure that automatically chooses a parameter setting for the input, and has two main ingredients:
(a) the set of parameter choices considered by the advisor, and
(b) an estimator of alignment accuracy used to rank alignments produced by the aligner.
On coupling a parameter advisor with an aligner, once the advisor is trained in a learning phase, the user simply inputs sequences to align, and receives an output alignment from the aligner, where the advisor has automatically selected the parameter setting.
The chapters first lay out the foundations of parameter advising, and then cover applications and extensions of advising. The content
- examines formulations of parameter advising and their computational complexity,
- develops methods for learning good accuracy estimators,
- presents approximation algorithms for finding good sets of parameter choices, and
- assesses software implementations of advising that perform well on real biological data.
Also explored are applications of parameter advising to
- adaptive local realignment, where advising is performed on local regions of the sequences to automatically adapt to varying mutation rates, and
- ensemble alignment, where advising is applied to an ensemble of aligners to effectively yield a new aligner of higher quality than the individual aligners in the ensemble.
The book concludes by offering future directions in advising research.
Описание: This new publication in the Methods in Molecular Biology series sets out detailed protocols for the targeted bioinformatics procedures dedicated to RNA structure. It features practical and algorithmic approaches as well as expert problem-solving advice.
Описание: This work covers sequence-based protein homology detection, a fundamental and challenging bioinformatics problem with a variety of real-world applications. The text first surveys a few popular homology detection methods, such as Position-Specific Scoring Matrix (PSSM) and Hidden Markov Model (HMM) based methods, and then describes a novel Markov Random Fields (MRF) based method developed by the authors. MRF-based methods are much more sensitive than HMM- and PSSM-based methods for remote homolog detection and fold recognition, as MRFs can model long-range residue-residue interaction. The text also describes the installation, usage and result interpretation of programs implementing the MRF-based method.
Автор: David Posada Название: Bioinformatics for DNA Sequence Analysis ISBN: 1617378399 ISBN-13(EAN): 9781617378393 Издательство: Springer Рейтинг: Цена: 20263.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In Bioinformatics for DNA Sequence Analysis, experts provide practical guidance and troubleshooting advice for the computational analysis of DNA sequences, covering a range of issues and methods that demonstrate the vital relevance bioinformatics has today.
Описание: The introduction of Next Generation Sequencing (NGS) technologies resulted in a major transformation in the way scientists extract genetic information from biological systems, revealing limitless insight about the genome, transcriptome and epigenome of any species. However, with NGS, came its own challenges that require continuous development in the sequencing technologies and bioinformatics analysis of the resultant raw data and assembly of the full length genome and transcriptome. Such developments lead to outstanding improvements of the performance and coverage of sequencing and improved quality for the assembled sequences, nevertheless, challenges such as sequencing errors, expensive processing and memory usage for assembly and sequencer specific errors remains major challenges in the field. This book aims to provide brief overviews the NGS field with special focus on the challenges facing the NGS field, including information on different experimental platforms, assembly algorithms and software tools, assembly error correction approaches and the correlated challenges.
Автор: Kun-Mao Chao; Louxin Zhang Название: Sequence Comparison ISBN: 1849967822 ISBN-13(EAN): 9781849967822 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Biomolecular sequence comparison is the origin of bioinformatics. This book gives a complete in-depth treatment of the study of sequence comparison. The book examines alignment methods and techniques, and features a new issue of sequence comparison.
Описание: The existence of genes for RNA molecules not coding for proteins (ncRNAs) has been recognized since the 1950's, but until recently, aside from the critically important ribosomal and transfer RNA genes, most focus has been on protein coding genes. However, a long series of striking discoveries, from RNA's ability to carry out catalytic function, to discovery of riboswitches, microRNAs and other ribo-regulators performing critical tasks in essentially all living organisms, has created a burgeoning interest in this primordial component of the biosphere. However, the structural characteristics and evolutionary constraints on RNA molecules are very different from those of proteins, necessitating development of a completely new suite of informatic tools to address these challenges. In RNA Sequence, Structure, Function: Computational and Bioinformatic Methods, expert researchers in the field describe a substantial and relevant fraction of these methodologies from both practical and computational/algorithmic perspectives. Focusing on both of these directions addresses both the biologist interested in knowing more about RNA bioinformatics as well as the bioinformaticist interested in more detailed aspects of the algorithms. Written in the highly successful Methods in Molecular Biology series format, the chapters include the kind of detailed description and implementation advice that is crucial for getting optimal results. Thorough and intuitive, RNA Sequence, Structure, Function: Computational and Bioinformatic Methods aids scientists in continuing to study key methods and principles of RNA bioinformatics.
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