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Related Concept Videos

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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RACE - Rapid Amplification of cDNA Ends

Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific primer.
Since the...
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Global Positioning System (GPS) technology has revolutionized navigation and positioning, but its accuracy is often compromised by various errors. These errors, stemming from environmental, satellite, and receiver-related factors, require careful mitigation to ensure reliable performance across applications.Atmospheric ErrorsGPS signals travel through the Earth’s ionosphere and troposphere, introducing delays which affect accuracy. The ionosphere is strongly influenced by charged particles,...
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Since the discovery of the two BER pathways, there has been a debate about how a cell chooses one pathway over the other and the factors determining this selection. Numerous in vitro experiments have pointed out multiple determinants for the sub-pathway selection. These are:
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Related Experiment Video

Updated: May 31, 2026

Detection of Rare Mutations in CtDNA Using Next Generation Sequencing
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TotalReCaller: improved accuracy and performance via integrated alignment and base-calling.

Fabian Menges1, Giuseppe Narzisi, Bud Mishra

  • 1Computer Science Department, Courant Institute, New York University, NY 10012, USA. fabian.menges@nyu.edu

Bioinformatics (Oxford, England)
|July 5, 2011
PubMed
Summary
This summary is machine-generated.

TotalReCaller improves next-generation sequencing analysis by integrating raw signal interpretation with reference genome alignment. This novel bioinformatics approach enhances base-calling accuracy and variant detection speed for clinical applications.

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Area of Science:

  • Bioinformatics
  • Genomics
  • Computational Biology

Background:

  • Current re-sequencing methods process sequencing data serially, ignoring genomic information until alignment.
  • This limits the exploitation of raw sequencing data and reference genomes for improved read quality and variant detection.
  • There is a need for integrated, reference-guided algorithms to interpret analog sequencing signals and align reads simultaneously.

Purpose of the Study:

  • To introduce TotalReCaller, a novel base-calling algorithm designed for improved performance in next-generation sequencing.
  • To combine raw intensity data interpretation with Burrows-Wheeler Transform (BWT)-based alignment for enhanced accuracy.
  • To evaluate TotalReCaller's speed, throughput, read accuracy, and variant calling performance against existing methods.

Main Methods:

  • Developed TotalReCaller, integrating a linear error model for raw intensity data with BWT alignment.
  • Employed a Bayesian score function globally optimized using a branch-and-bound approach for alignment.
  • Implemented TotalReCaller in software and hardware (FPGA) for real-time processing capabilities.

Main Results:

  • Empirical evaluation on Illumina data demonstrated TotalReCaller's superior performance compared to Bustard, BayesCall, Ibis, and Rolexa.
  • Assessed performance based on base-calling speed, throughput, read accuracy, and variant calling specificity/sensitivity.
  • The algorithm achieved real-time performance through its efficient implementation.

Conclusions:

  • TotalReCaller offers a significant advancement in bioinformatics for interpreting sequencing data.
  • The integrated approach enhances accuracy and efficiency in base-calling and variant detection.
  • This method holds promise for improving clinical and scientific applications reliant on high-throughput sequencing.