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 Experiment Videos

CTX-BLAST: context sensitive version of protein BLAST.

Anna Gambin1, Piotr Wojtalewicz

  • 1Institute of Informatics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland. aniag@mimuw.edu.pl

Bioinformatics (Oxford, England)
|April 27, 2007
PubMed
Summary
This summary is machine-generated.

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

WNetAlign: fast and accurate spectra alignment using truncated Wasserstein distance and network simplex.

Briefings in bioinformatics·2026
Same author

spatialstein: An Open-Source Workflow for Annotation, Deconvolution, and Spatially Aware Segmentation of Mass Spectrometry Imaging Data.

Analytical chemistry·2026
Same author

Efficient Compression of Mass Spectrometry Images via Contrastive Learning-Based Encoding.

Analytical chemistry·2025
Same author

NMR Reaction Monitoring Robust to Spectral Distortions.

Analytical chemistry·2025
Same author

An Automated Analysis of Homocoupling Defects Using MALDI-MS and Open-Source Computer Software.

Journal of the American Society for Mass Spectrometry·2024
Same author

MIND4OLIGOS: Determining the Monoisotopic Mass of Oligonucleotides Observed in High-Resolution Mass Spectrometry.

Analytical chemistry·2024

We introduce CTX-BLAST, a novel software tool that enhances protein alignment by incorporating context-dependency. This tool improves the efficiency of analyzing protein sequence alignments using contextual statistical models.

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Protein Sequence Analysis

Background:

  • Protein sequence alignment is fundamental in bioinformatics.
  • Traditional methods may not fully capture context-dependent variations.
  • Efficient tools are needed to analyze these variations.

Purpose of the Study:

  • To introduce CTX-BLAST, a software tool integrating contextual alignment models into protein BLAST.
  • To enable more efficient investigation of context-dependency in protein alignments.
  • To provide a tool for calculating alignment statistical significance based on contextual models.

Main Methods:

  • Incorporation of a contextual alignment model into the established protein BLAST program.
  • Utilization of non-symmetric contextual substitution tables.

Related Experiment Videos

  • Calculation of statistical significance using a contextual statistical model.

    • Main Results:

    • CTX-BLAST allows for more efficient analysis of context-dependency in protein alignments compared to previous dynamic algorithms.
    • The software provides a novel approach to protein sequence alignment.
    • Statistical significance is determined via a contextual statistical model.

    Conclusions:

    • CTX-BLAST offers an efficient and effective method for analyzing context-dependent protein alignments.
    • The tool enhances the capabilities of protein BLAST for sequence analysis.
    • This approach advances the study of protein evolution and function through improved alignment.