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Evolutionary Relationships through Genome Comparisons

Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web
09:51

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Published on: July 16, 2017

Experience using web services for biological sequence analysis.

Heinz Stockinger1, Teresa Attwood, Shahid Nadeem Chohan

  • 1Swiss Institute of Bioinformatics, Vital-IT Group, Lausanne, Switzerland. Heinz.Stockinger@isb-sib.ch.

Briefings in Bioinformatics
|July 16, 2008
PubMed
Summary
This summary is machine-generated.

Web services offer programmatic access to bioinformatics tools and data. This article reviews SOAP/WS-I and REST approaches, sharing community experiences and discussing data integration challenges for biological sequence analysis.

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Area of Science:

  • Bioinformatics and computational biology
  • Web service technologies

Background:

  • Programmatic access to bioinformatics data and tools via web services is crucial.
  • Existing approaches include SOAP/WS-I and REST.

Purpose of the Study:

  • To discuss popular web service approaches (SOAP/WS-I, REST) in bioinformatics.
  • To share community experiences in providing and using web services for biological sequence analysis.
  • To highlight technological approaches, best practices, and data integration issues.

Main Methods:

  • Review of SOAP/WS-I and REST web service architectures.
  • Analysis of community experiences in web service implementation and utilization.
  • Discussion of syntactic and semantic data integration challenges.

Main Results:

  • Identified key aspects of SOAP/WS-I and REST for bioinformatics applications.
  • Provided practical insights for both web service users and developers.
  • Outlined challenges in integrating data from multiple web services.

Conclusions:

  • Web services are vital for bioinformatics data and tool accessibility.
  • Understanding different approaches and best practices enhances usability.
  • Addressing data integration is key for effective multi-service utilization.