Gene/Protein Sequence Analysis

A Compilation of Bioinformatic Tools
  • Bernd H. A. Rehm
  • Frank Reinecke
Part of the Springer Protocols Handbooks book series (SPH)

1. Introduction

The advent of automated high throughput DNA sequencing methods has strongly enabled genome sequencing strategies, culminating in determination of the entire human genome ( 1, 2). An enormous amount of DNA sequence data are available and databases still grow exponentially (see Fig. 22.1). Analysis of this overwhelming amount of data, including hundreds of genomes from both prokaryotes and eukaryotes, has given rise to the field of bioinformatics. Development of bioinformatic tools has evolved rapidly in order to identify genes that encode functional proteins or RNA. This is an important task, considering that even in the best studied bacterium Escherichia colimore than 30% of the identified open reading frames (ORFs) represent hypothetical genes with no known function. Future challenges of genome-sequence analysis will include the understanding of diseases, gene regulation, and metabolic pathway reconstruction. In addition, a set of methods for protein analysis...


Alignment Score Unrooted Tree Remote Homolog Content Sensor PROSITE Pattern 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Humana Press, a part of Springer Science+Business Media, LLC 2008

Authors and Affiliations

  • Bernd H. A. Rehm
    • 1
  • Frank Reinecke
    • 2
  1. 1.Institute of Molecular BioSciencesMassey UniversityPalmerston NorthNew Zealand
  2. 2.Institut für Medizinische Physik und Biophysik, Elektronenmikroskopie und AnalytikUniversitätsklinikum Münster Westfälische Wilhelms-UniversitätMünsterGermany

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