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Related Concept Videos

End Point Prediction: Gran Plot01:07

End Point Prediction: Gran Plot

A Gran plot is used to predict the equivalence volume or endpoint of a potentiometric or acid-base titration without reaching the endpoint. Typically, titration data is collected as a function of the titrant's volume up to a point less than the equivalence volume and then transformed into a linear format. The straight line is extended to the x-axis, indicating the necessary titrant volume to achieve the equivalence point.
For potentiometric titration, the Gran plot is created by plotting the...

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Related Experiment Video

Updated: May 30, 2026

Eye-tracking to Distinguish Comprehension-based and Oculomotor-based Regressive Eye Movements During Reading
05:54

Eye-tracking to Distinguish Comprehension-based and Oculomotor-based Regressive Eye Movements During Reading

Published on: October 18, 2018

Small open reading frames: current prediction techniques and future prospect.

Haoyu Cheng1, Wai Soon Chan, Zhixiu Li

  • 1Indiana University School of Informatics, Indiana University-Purdue University and Center for Computational Biology and Bioinformatics, Indiana University School of Medicine, Indianapolis, IN 46202, USA.

Current Protein & Peptide Science
|July 27, 2011
PubMed
Summary
This summary is machine-generated.

Small open reading frames (sORFs) are abundant but often overlooked. Current methods struggle to accurately identify sORFs, necessitating further research for improved prediction.

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Using Eye Movements to Evaluate the Cognitive Processes Involved in Text Comprehension
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Related Experiment Videos

Last Updated: May 30, 2026

Eye-tracking to Distinguish Comprehension-based and Oculomotor-based Regressive Eye Movements During Reading
05:54

Eye-tracking to Distinguish Comprehension-based and Oculomotor-based Regressive Eye Movements During Reading

Published on: October 18, 2018

Using Eye Movements to Evaluate the Cognitive Processes Involved in Text Comprehension
06:49

Using Eye Movements to Evaluate the Cognitive Processes Involved in Text Comprehension

Published on: January 10, 2014

Area of Science:

  • Genomics
  • Bioinformatics
  • Molecular Biology

Background:

  • Small open reading frames (sORFs, <100 codons) are increasingly recognized for their crucial roles in biological processes.
  • sORFs are significantly more abundant than larger genes but are frequently omitted from gene annotations.
  • The underestimation of sORFs limits our understanding of their functional significance.

Purpose of the Study:

  • To evaluate the performance of common gene-finding techniques for small open reading frames (sORFs).
  • To compare the accuracy of homology search and dedicated sORF discovery methods.
  • To identify limitations in current sORF prediction strategies and highlight areas for improvement.

Main Methods:

  • Comparative analysis of homolog search and codon-index techniques against dedicated sORF discovery methods.
  • Assessment of prediction accuracy based on available experimentally verified sORF datasets.
  • Evaluation of computational approaches for sORF identification.

Main Results:

  • Popular homolog search and codon-index methods exhibit lower accuracy for sORFs compared to larger genes.
  • A dedicated sORF discovery method shows comparable accuracy to homology search.
  • The limited availability of experimentally verified sORFs hinders the training and accuracy of prediction tools.

Conclusions:

  • Current computational tools are suboptimal for accurate sORF identification.
  • The scarcity of validated sORF data is a major bottleneck for advancing prediction accuracy.
  • Integrated experimental and computational efforts are essential to improve the discovery and annotation of sORFs.