Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

R-PASS: A Fast Structure-based RNA Sequence Alignment Algorithm.

Proceedings. IEEE International Conference on Bioinformatics and Biomedicine·2014
Same author

An Accurate Scalable Template-based Alignment Algorithm.

Proceedings. IEEE International Conference on Bioinformatics and Biomedicine·2014
Same author

Two accurate sequence, structure, and phylogenetic template-based RNA alignment systems.

BMC systems biology·2014
Same author

Probabilistic alignment leads to improved accuracy and read coverage for bisulfite sequencing data.

BMC bioinformatics·2013
Same author

Pathoscope: species identification and strain attribution with unassembled sequencing data.

Genome research·2013
Same author

Parallel Mapping Approaches for GNUMAP.

Proceedings. IPDPS (Conference)·2013

Related Experiment Video

Updated: Apr 26, 2026

Digital-Droplet PCR to Detect Indels Mutations in Genetically Modified Anopheline Mosquito Populations
05:51

Digital-Droplet PCR to Detect Indels Mutations in Genetically Modified Anopheline Mosquito Populations

Published on: June 28, 2021

4.0K

ADaM: augmenting existing approximate fast matching algorithms with efficient and exact range queries.

Nathan L Clement, Lee P Thompson, Daniel P Miranker

    BMC Bioinformatics
    |August 1, 2014
    PubMed
    Summary
    This summary is machine-generated.

    A new program, ADaM (APF DNA Mapper), enhances genomic data accuracy. It improves alignment of difficult DNA sequences from 60% to over 90%, boosting genomic research quality.

    More Related Videos

    Development of Targeting Induced Local Lesions IN Genomes TILLING Populations in Small Grain Crops by Ethyl Methanesulfonate Mutagenesis
    08:36

    Development of Targeting Induced Local Lesions IN Genomes TILLING Populations in Small Grain Crops by Ethyl Methanesulfonate Mutagenesis

    Published on: July 16, 2019

    11.2K
    Quantitative Detection of Trace Explosive Vapors by Programmed Temperature Desorption Gas Chromatography-Electron Capture Detector
    07:57

    Quantitative Detection of Trace Explosive Vapors by Programmed Temperature Desorption Gas Chromatography-Electron Capture Detector

    Published on: July 25, 2014

    19.6K

    Related Experiment Videos

    Last Updated: Apr 26, 2026

    Digital-Droplet PCR to Detect Indels Mutations in Genetically Modified Anopheline Mosquito Populations
    05:51

    Digital-Droplet PCR to Detect Indels Mutations in Genetically Modified Anopheline Mosquito Populations

    Published on: June 28, 2021

    4.0K
    Development of Targeting Induced Local Lesions IN Genomes TILLING Populations in Small Grain Crops by Ethyl Methanesulfonate Mutagenesis
    08:36

    Development of Targeting Induced Local Lesions IN Genomes TILLING Populations in Small Grain Crops by Ethyl Methanesulfonate Mutagenesis

    Published on: July 16, 2019

    11.2K
    Quantitative Detection of Trace Explosive Vapors by Programmed Temperature Desorption Gas Chromatography-Electron Capture Detector
    07:57

    Quantitative Detection of Trace Explosive Vapors by Programmed Temperature Desorption Gas Chromatography-Electron Capture Detector

    Published on: July 25, 2014

    19.6K

    Area of Science:

    • Genomics
    • Bioinformatics
    • Computational Biology

    Background:

    • Genomic research is crucial for drug discovery, disease detection, and personalized medicine.
    • Next-generation sequencing (NGS) generates vast amounts of genomic data rapidly.
    • Lossy data in NGS can reduce alignment accuracy due to heuristic algorithms.

    Purpose of the Study:

    • To introduce ADaM (APF DNA Mapper), a novel program designed to significantly increase final alignment accuracy in genomic data.
    • To address the accuracy drop associated with heuristic algorithms when aligning lossy NGS data.

    Main Methods:

    • ADaM employs a two-step alignment process.
    • Initially, an existing program aligns straightforward DNA sequences.
    • A specialized algorithm with accuracy guarantees (APF) is then used for remaining, more challenging sequences.

    Main Results:

    • ADaM substantially improves the accuracy of mapping difficult-to-align sequences.
    • Mapping accuracy for challenging sequences increases from approximately 60% to over 90% using ADaM.
    • This represents a significant advancement in handling imperfect genomic data.

    Conclusions:

    • ADaM offers a robust solution for enhancing genomic data alignment accuracy.
    • The program is vital for improving the reliability of downstream genomic analyses.
    • Increased accuracy facilitates more precise drug discovery, disease detection, and personalized medicine applications.