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Data Mining Techniques for the Life Sciences

  • Oliviero Carugo
  • Frank Eisenhaber

Part of the Methods in Molecular Biology book series (MIMB, volume 1415)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Databases

    1. Front Matter
      Pages 1-1
    2. Roman A. Laskowski
      Pages 31-53
    3. Luana Licata, Sandra Orchard
      Pages 55-69
    4. Anisah W. Ghoorah, Marie-Dominique Devignes, Malika Smaïl-Tabbone, David W. Ritchie
      Pages 91-105
    5. Bart van Beusekom, Anastassis Perrakis, Robbie P. Joosten
      Pages 107-138
    6. Oliviero Carugo, Kristina Djinović-Carugo
      Pages 139-152
    7. Marco Punta, Jaina Mistry
      Pages 153-176
  3. Computational Techniques

  4. Prediction Methods

    1. Front Matter
      Pages 263-263
    2. Philippe Lieutaud, François Ferron, Sonia Longhi
      Pages 265-299
    3. Chintalapati Janaki, Narayanaswamy Srinivasan, Malini Manoharan
      Pages 301-313
    4. Pawel Smialowski, Philip Wong
      Pages 341-370
    5. Robert Hoehndorf, Georgios V. Gkoutos, Paul N. Schofield
      Pages 385-397
    6. Mónica Chagoyen, Javier López-Ibáñez, Florencio Pazos
      Pages 399-406
    7. Massimiliano Orsini, Gianmauro Cuccuru, Paolo Uva, Giorgio Fotia
      Pages 407-422
    8. Salvatore Alaimo, Rosalba Giugno, Alfredo Pulvirenti
      Pages 441-462
    9. Badri Adhikari, Jianlin Cheng
      Pages 463-476
    10. Birgit Eisenhaber, Durga Kuchibhatla, Westley Sherman, Fernanda L. Sirota, Igor N. Berezovsky, Wing-Cheong Wong et al.
      Pages 477-506
  5. Big Data

    1. Front Matter
      Pages 509-509
    2. George V. Popescu, Christos Noutsos, Sorina C. Popescu
      Pages 533-547
  6. Back Matter
    Pages 549-552

About this book

Introduction

High throughput sequencing (HTS) technologies have conquered the genomics and epigenomics worlds. The applications of HTS methods are wide, and can be used to sequence everything from whole or partial genomes, transcriptomes, non-coding RNAs, ribosome profiling, to single-cell sequencing. Having such diversity of alternatives, there is a demand for information by research scientists without experience in HTS that need to choose the most suitable  methodology or combination of platforms  and to define their experimental designs to achieve their specific objectives. Field Guidelines for Genetic Experimental Designs in High-Throughput Sequencing

Keywords

protein-protein interactions align RNA sequences thermodynamics “Kbdock” protein domain structure database PDB_REDO databank protein crystallizability

Editors and affiliations

  • Oliviero Carugo
    • 1
  • Frank Eisenhaber
    • 2
  1. 1.Max F. Perutz Laboratories GmbHUniversität WienWienAustria
  2. 2.Technology and Research (A*STAR)Agency for ScienceSingaporeSingapore

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4939-3572-7
  • Copyright Information Springer Science+Business Media New York 2016
  • Publisher Name Humana Press, New York, NY
  • eBook Packages Springer Protocols
  • Print ISBN 978-1-4939-3570-3
  • Online ISBN 978-1-4939-3572-7
  • Series Print ISSN 1064-3745
  • Series Online ISSN 1940-6029
  • Buy this book on publisher's site