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Related Concept Videos

Mutations01:39

Mutations

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Mutations01:35

Mutations

Mutations are changes in the sequence of DNA. These changes can occur spontaneously or they can be induced by exposure to environmental factors. Mutations can be characterized in a number of different ways: whether and how they alter the amino acid sequence of the protein, whether they occur over a small or large area of DNA, and whether they occur in somatic cells or germline cells.
Chromosomal Alterations Are Large-Scale Mutations
While point mutations are changes in a single nucleotide in...
Mutations01:39

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Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
Impact of Schemas01:30

Impact of Schemas

Schemas are cognitive structures that provide a framework for interpreting and organizing social information. They help individuals navigate complex environments by offering expectations about people, events, and behaviors. Schemas influence attention, encoding, and retrieval processes, thereby shaping the entire trajectory of information processing in social contexts.Attention and Cognitive LoadDuring initial attention, schemas function as filters that prioritize schema-consistent information,...
Sanger Sequencing01:57

Sanger Sequencing

DNA sequencing is a fundamental technique that is routinely used in the biological sciences. This method can be applied to a range of questions at different scales - from the sequencing of a cloned DNA fragment or the study of a mutation in a gene up to whole-genome sequencing. However, despite the widespread use of sequencing today, it was not until 1977 that Fredrick Sanger and his collaborators developed the chain-termination method to decode DNA sequences. It relies on the separation of a...

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Updated: May 28, 2026

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

Deploying mutation impact text-mining software with the SADI Semantic Web Services framework.

Alexandre Riazanov1, Jonas Bergman Laurila, Christopher J O Baker

  • 1Department of Computer Science & Applied Statistics, University of New Brunswick, Saint John, New Brunswick, E2L 4L5, Canada.

BMC Bioinformatics
|October 14, 2011
PubMed
Summary
This summary is machine-generated.

This study leverages the Semantic Automated Discovery and Integration (SADI) framework to publish mutation impact software and data. SADI enables semantic web services for automatic discovery and integration, enhancing data accessibility for various stakeholders.

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Area of Science:

  • Bioinformatics
  • Computational Biology
  • Semantic Web Technologies

Background:

  • Mutation impact extraction is crucial for reusing annotations from scientific documents.
  • Previous work developed a GATE-based pipeline for mining mutation impacts on proteins.
  • This information was integrated into an OWL DL mutation impact ontology and a semantic database.

Purpose of the Study:

  • To explore the Semantic Automated Discovery and Integration (SADI) framework for publishing mutation impact software and data.
  • To demonstrate the utility of SADI in creating and integrating semantic web services for biological data.
  • To showcase the integration of mutation impact services with external services for related biological entities.

Main Methods:

  • Developed several SADI services based on existing text mining APIs and mutation impact data.
  • Utilized a SPARQL interface (SHARE) to demonstrate biologically meaningful scenarios.
  • Focused on integrating mutation impact services with external SADI services (e.g., for proteins, pathways, drugs).

Main Results:

  • The SADI framework effectively exposes mutation impact data for diverse stakeholders and use cases.
  • Demonstrated the creation of SADI services for mutation impact analysis.
  • Showcased successful integration of these services with external biological data sources.

Conclusions:

  • SADI provides an effective method for exposing mutation impact data, enabling broader reuse.
  • The developed solutions serve as examples for SADI adoption in similar integration challenges.
  • This approach facilitates leveraging mutation impact information across multiple biological contexts.