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Genome-Scale Algorithm Design
  • Language: en
  • Pages: 415

Genome-Scale Algorithm Design

High-throughput sequencing has revolutionised the field of biological sequence analysis. Its application has enabled researchers to address important biological questions, often for the first time. This book provides an integrated presentation of the fundamental algorithms and data structures that power modern sequence analysis workflows. The topics covered range from the foundations of biological sequence analysis (alignments and hidden Markov models), to classical index structures (k-mer indexes, suffix arrays and suffix trees), Burrows–Wheeler indexes, graph algorithms and a number of advanced omics applications. The chapters feature numerous examples, algorithm visualisations, exercises and problems, each chosen to reflect the steps of large-scale sequencing projects, including read alignment, variant calling, haplotyping, fragment assembly, alignment-free genome comparison, transcript prediction and analysis of metagenomic samples. Each biological problem is accompanied by precise formulations, providing graduate students and researchers in bioinformatics and computer science with a powerful toolkit for the emerging applications of high-throughput sequencing.

Genome-Scale Algorithm Design
  • Language: en
  • Pages: 469

Genome-Scale Algorithm Design

The fundamental algorithms and data structures that power standard bioscience workflows, with rigorous computer science formulations.

String Processing and Information Retrieval
  • Language: en
  • Pages: 537

String Processing and Information Retrieval

This volume constitutes the refereed proceedings of the 26th International Symposium on String Processing and Information Retrieval, SPIRE 2019, held in Segovia, Spain, in October 2019. The 28 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 59 submissions. They cover topics such as: data compression; information retrieval; string algorithms; algorithms; computational biology; indexing and compression; and compressed data structures.

Pearls of Algorithm Engineering
  • Language: en
  • Pages: 319

Pearls of Algorithm Engineering

This book covers algorithmic problems in big data applications, presenting solutions over hierarchical-memory systems along with pseudocode.

Combinatorial Pattern Matching
  • Language: en
  • Pages: 298

Combinatorial Pattern Matching

  • Type: Book
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  • Published: 2003-08-02
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  • Publisher: Springer

The papers contained in this volume were presented at the 13th Annual S- posium on Combinatorial Pattern Matching, held July 3–5, 2002 at the Hotel Uminonakamichi, in Fukuoka, Japan. They were selected from 37 abstracts s- mitted in response to the call for papers. In addition, there were invited lectures by Shinichi Morishita (University of Tokyo) and Hiroki Arimura (Kyushu U- versity). Combinatorial Pattern Matching (CPM) addresses issues of searching and matching strings and more complicated patterns such as trees, regular expr- sions, graphs, point sets, and arrays, in various formats. The goal is to derive n- trivial combinatorial properties of such structures and to exploit these pro...

Combinatorial Pattern Matching
  • Language: en
  • Pages: 381

Combinatorial Pattern Matching

This book constitutes the refereed proceedings of the 20th Annual Symposium on Combinatorial Pattern Matching, CPM 2009, held in Lille, France in June 2009. The 27 revised full papers presented together with 3 invited talks were carefully reviewed and selected from 63 submissions. The papers address all areas related to combinatorial pattern matching and its applications, such as coding and data compression, computational biology, data mining, information retrieval, natural language processing, pattern recognition, string algorithms, string processing in databases, symbolic computing and text searching.

Combinatorial Pattern Matching
  • Language: en
  • Pages: 327

Combinatorial Pattern Matching

  • Type: Book
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  • Published: 2008-06-08
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  • Publisher: Springer

The papers contained in this volume were presented at the 19th Annual S- posium on Combinatorial Pattern Matching (CPM 2008) held at the University of Pisa, Italy, June 18–20, 2008. All the papers presented at the conference are originalresearchcontributions on computational pattern matching and analysis. They were selected from 78 submissions. Each submission was reviewed by at least three reviewers. The committee decided to accept 25 papers. The programme also includes three invited talks by Daniel M. Gus?eld from the University of California, Davis, USA, J. Ian Munro from the University of Waterloo, Canada, and Prabhakar Raghavan from Yahoo! Research, USA. The objective of the annual CP...

Combinatorial Pattern Matching
  • Language: en
  • Pages: 496

Combinatorial Pattern Matching

  • Type: Book
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  • Published: 2004-10-29
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  • Publisher: Springer

This book constitutes the refereed proceedings of the 15th Annual Symposium on Combinatorial Pattern Matching, CPM 2004, held in Istanbul, Turkey in July 2004. The 36 revised full papers presented were carefully reviewed and selected from 79 submissions. The papers are devoted to current theoretical and computational aspects of searching and matching of strings and more complicate patterns, such as trees, regular expressions, graphs, point sets, and arrays. Among the application fields addressed are computational biology, bioinformatics, genomics, proteinomics, the web, data compression, coding, multimedia, information retrieval, data analysis, pattern recognition, and computer vision.

Encyclopedia of Algorithms
  • Language: en
  • Pages: 1200

Encyclopedia of Algorithms

One of Springer’s renowned Major Reference Works, this awesome achievement provides a comprehensive set of solutions to important algorithmic problems for students and researchers interested in quickly locating useful information. This first edition of the reference focuses on high-impact solutions from the most recent decade, while later editions will widen the scope of the work. All entries have been written by experts, while links to Internet sites that outline their research work are provided. The entries have all been peer-reviewed. This defining reference is published both in print and on line.

Pattern Recognition in Bioinformatics
  • Language: en
  • Pages: 488

Pattern Recognition in Bioinformatics

In the post-genomic era, a holistic understanding of biological systems and p- cesses,inalltheircomplexity,is criticalincomprehendingnature’schoreography of life. As a result, bioinformatics involving its two main disciplines, namely, the life sciences and the computational sciences, is fast becoming a very promising multidisciplinary research ?eld. With the ever-increasing application of lar- scalehigh-throughputtechnologies,suchasgeneorproteinmicroarraysandmass spectrometry methods, the enormous body of information is growing rapidly. Bioinformaticians are posed with a large number of di?cult problems to solve, arising not only due to the complexities in acquiring the molecular infor- ti...