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Related Concept Videos

Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Evolutionary Relationships through Genome Comparisons02:54

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...
Genetic Screens02:46

Genetic Screens

Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which result in visible changes...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
Improving Translational Accuracy02:07

Improving Translational Accuracy

Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...

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Related Experiment Videos

A robust approach to optimizing multi-source information for enhancing genomics retrieval performance.

Qinmin Hu1, Jimmy Xiangji Huang, Jun Miao

  • 1Information Retrieval and Knowledge Management Research Lab, York University, Toronto, ON, M3J1P3, Canada.

BMC Bioinformatics
|October 13, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a robust approach for optimizing multi-source information retrieval in genomics. The reciprocal fusion method significantly improved retrieval performance, outperforming other tested methods.

Related Experiment Videos

Area of Science:

  • Biomedical Informatics
  • Information Retrieval
  • Genomics

Background:

  • Biomedical literature retrieval systems aim to provide concise answers with source links.
  • Information retrieval technologies index data using predefined techniques for ranking.
  • Optimizing multi-source information is crucial for enhancing genomics retrieval performance.

Purpose of the Study:

  • To propose a robust approach for optimizing multi-source information retrieval in genomics.
  • To evaluate the effectiveness of different fusion methods for re-ranking retrieved documents/passages.

Main Methods:

  • A metasearch system scenario with multiple baseline retrieval models was considered.
  • Three modified fusion methods (reciprocal, CombMNZ, CombSUM) were investigated for re-ranking.
  • Empirical studies were conducted on 2007 and 2006 TREC genomics datasets.

Main Results:

  • The proposed approach demonstrated viability for improving genomics retrieval performance.
  • The reciprocal method showed notable improvements over individual baselines, particularly at passage2-level and aspect-level MAP.
  • Combining multiple sources (DFR, BM25, language model) achieved the best overall results.

Conclusions:

  • The reciprocal fusion method significantly outperformed CombMNZ and CombSUM.
  • CombSUM showed good performance at the passage2-level compared to CombMNZ.
  • Combining diverse, high-performing baseline models ('alliance of giants') yields superior results in biomedical information retrieval.