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Bioinformatics tools for whole genomes.

D B Searls1

  • 1Bioinformatics Department, SmithKline Beecham Pharmaceuticals, King of Prussia, Pennsylvania 19406, USA. David_B_Searls@sbphrd.com

Annual Review of Genomics and Human Genetics
|November 10, 2001
PubMed
Summary
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Bioinformatics is rapidly advancing due to whole-genome data. This data deluge necessitates new computational tools and enables novel discovery approaches.

Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • The field of bioinformatics is experiencing significant growth.
  • Availability of diverse genome-scale data is increasing rapidly.

Purpose of the Study:

  • To highlight the dual impact of whole-genome data on bioinformatics.
  • To underscore the need for new computational tools and methods.

Main Methods:

  • Analysis of the current state of bioinformatics resources.
  • Identification of trends in data generation and utilization.

Main Results:

  • Whole-genome data resources are driving the need for advanced bioinformatics tools.
  • The scale and diversity of genomic data create opportunities for computational discovery.

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Conclusions:

  • Bioinformatics is evolving to meet the challenges of big data.
  • Computational methods are key to unlocking new biological insights from genomic data.