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Related Concept Videos

Protein Families02:47

Protein Families

Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism.   Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members.   If these new proteins contain similar amino acids in key locations, protein...

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Related Experiment Video

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A Fast and Reliable Pipeline for Bacterial Transcriptome Analysis Case study: Serine-dependent Gene Regulation in Streptococcus pneumoniae
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PESTAS: a web server for EST analysis and sequence mining.

Seong-Hyeuk Nam1, Dae-Won Kim, Tae-Sung Jung

  • 1Industrial Biotechnology & Bioenergy Research Center, Korea Research Institute of Bioscience and Biotechnology, Daejeon 305-806, Korea.

Bioinformatics (Oxford, England)
|May 6, 2009
PubMed
Summary

We developed PESTAS, a web server for high-throughput annotation of expressed sequence tags (ESTs). This tool automates analysis, provides functional annotation, and aids in gene expression and pathway analysis.

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Published on: July 12, 2022

Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Expressed Sequence Tags (ESTs) are crucial for gene discovery and functional genomics.
  • High-throughput analysis of ESTs requires robust computational tools for efficient annotation.

Purpose of the Study:

  • To develop an automated web server for high-throughput annotation of expressed sequence tags (ESTs).
  • To provide biologists with a user-friendly platform for functional annotation, gene expression analysis, and pathway exploration.

Main Methods:

  • Developed the Pipeline for EST Analysis Service (PESTAS) with an automated pipeline of 13 analytic services.
  • Integrated a MySQL database for data storage and generated preprocessing, assembling, and annotation reports.
  • Implemented a curation function for refining annotation results and a gene chip module for expression analysis.

Main Results:

  • PESTAS enables high-throughput processing of EST datasets.
  • Provides downloadable annotated information and facilitates manual curation of functional annotations.
  • Facilitates gene expression comparison between libraries and access to KEGG pathway information.

Conclusions:

  • PESTAS offers a comprehensive solution for EST analysis, enhancing functional annotation accuracy.
  • The platform supports researchers in understanding gene expression and biological pathways.
  • PESTAS is a valuable resource for the scientific community, accessible via a web browser.