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Related Concept Videos

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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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Related Experiment Video

Updated: Jul 13, 2026

Informatic Analysis of Sequence Data from Batch Yeast 2-Hybrid Screens
09:14

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The PACRAT system: an extensible WWW-based system for correlated sequence retrieval, storage and analysis.

W C Ray1, C J Daniels

  • 1Biophysics Program and Department of Microbiology, The Ohio State University, Columbus, OH 43210, USA. ray@biosci.ohio-state.edu

Bioinformatics (Oxford, England)
|February 27, 2001
PubMed
Summary

We developed PACRAT (Patterns, Analyses, Correlations. Remote Archive Testbed), an online database for accessing gene sequences and facilitating data analysis. This tool aids in finding specific gene relationships and resolving genomic annotation conflicts.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Accessing specific gene sequence relationships, like tRNA-associated intergenic regions, presents a challenge.
  • Analyzing large genomic datasets requires efficient data warehousing and analysis tools.

Purpose of the Study:

  • To introduce PACRAT (Patterns, Analyses, Correlations. Remote Archive Testbed), an online database and analysis suite.
  • To provide high-confidence gene sequences with defined relationships.
  • To streamline genomic data analysis and annotation.

Main Methods:

  • Development of an online database system (PACRAT).
  • Implementation of a data warehousing and analysis-facilitating suite.
  • Focus on accessing sequences with specific relationships to gene classes.

Main Results:

  • PACRAT provides easy access to high-confidence sequences linked to specific gene classes.
  • The system streamlines data analysis for genomic projects.
  • It also offers access to lower-confidence sequences, aiding in tasks like ORF-call conflict resolution.

Conclusions:

  • PACRAT is a valuable resource for accessing and analyzing genomic sequence data.
  • The system simplifies the identification of gene relationships.
  • PACRAT can assist in improving the accuracy of genomic annotation.