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The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.

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BIOSMILE web search: a web application for annotating biomedical entities and relations.

Hong-Jie Dai1, Chi-Hsin Huang, Ryan T K Lin

  • 1Institute of Information Science, Academia Sinica, Department of Computer Science, National Tsing-Hua University, Hsinchu, Taiwan, R.O.C.

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BIOSMILE web search (BWS) is a free tool that analyzes biomedical articles for relationships, aiding protein-protein interaction research. It presents findings in text or tables, receiving high user satisfaction for its capabilities and usability.

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Area of Science:

  • Biomedical Informatics
  • Bioinformatics
  • Computational Biology

Background:

  • Effective retrieval and analysis of biomedical literature are crucial for advancing scientific research.
  • Protein-protein interactions (PPIs) are fundamental to cellular processes, requiring sophisticated tools for their study.

Purpose of the Study:

  • To introduce BIOSMILE web search (BWS), a novel web-based application for analyzing biomedical articles.
  • To enhance the extraction of relational information from scientific texts, particularly for protein-protein interaction studies.

Main Methods:

  • BWS utilizes keyword queries to retrieve relevant abstracts from PubMed.
  • The application analyzes selected biomedical verbs to identify and mark up relational information (subject, object, location, manner, time).
  • Results are presented to users in both abstract text and table formats for comprehensive review.

Main Results:

  • BWS successfully retrieves and analyzes PubMed abstracts based on user queries.
  • Biomedical relations within the text are identified and highlighted, aiding in the understanding of complex interactions.
  • Field testing with over 30 biologists indicated high user satisfaction with BWS's capabilities and usability.

Conclusions:

  • BWS offers a valuable and user-friendly solution for exploring biomedical literature, especially for protein-protein interaction research.
  • The tool's ability to extract and present relational information significantly aids researchers in literature analysis.
  • BWS is freely accessible, promoting wider adoption and contribution to biomedical research.