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

DNA sequence quality trimming and vector removal.

H H Chou1, M H Holmes

  • 1Department of Zoology and Genetics, Department of Computer Science, Iowa State University, Ames, IA 50011, USA. hhchou@iastate.edu

Bioinformatics (Oxford, England)
|December 26, 2001
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

The Child's Need for Identification.

Mental health (London)·2017
Same author

Effects of pulse voltage on inkjet printing of a silver nanopowder suspension.

Nanotechnology·2011
Same author

Age factor and implication of human papillomavirus type-specific prevalence in women with normal cervical cytology.

Epidemiology and infection·2011
Same author

Prognostic factors and adjuvant therapy in uterine carcinosarcoma.

European journal of gynaecological oncology·2008
Same author

A case of minimal-change nephrotic syndrome in pediatric lupus erythematosus: just a coincidence?

Lupus·2006
Same author

Simulation modeling for nitrogen removal and experimental estimation of mass fractions of microbial groups in single-sludge system.

Chemosphere·2005
Same journal

MCFST: Spatial domain identification method based on multi-view graph convolutional network and graph fusion network.

Bioinformatics (Oxford, England)·2026
Same journal

SpaBiT: Enhancing Spatial Transcriptomics Resolution via Bidirectional Attention Transformers.

Bioinformatics (Oxford, England)·2026
Same journal

EDEL: Enhancing Dense Retrievers for Curation of Biomedical Knowledge Bases.

Bioinformatics (Oxford, England)·2026
Same journal

Informative Relational Learning for Adverse Reaction Prediction with Enhanced Generalization to Novel Drugs.

Bioinformatics (Oxford, England)·2026
Same journal

An interpretable deep learning framework uncovers features governing CRISPR-Cas9 genome-editing efficiency.

Bioinformatics (Oxford, England)·2026
Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026
See all related articles

A new program called LUCY cleans raw DNA sequences by removing contaminants and vector splice sites. This essential step improves accuracy for downstream genomic data processing and analysis.

Area of Science:

  • Bioinformatics
  • Genomic Data Processing
  • Sequence Analysis

Background:

  • Raw DNA sequences from automatic sequencing machines often contain errors like vector splice sites and contaminants.
  • Standard sequence comparison methods assume data integrity, which is not true for raw sequencing data.
  • Accurate raw sequence data is crucial for subsequent genomic analyses such as fragment assembly and EST clustering.

Purpose of the Study:

  • To develop a specialized tool for cleaning raw DNA sequences.
  • To address the dilemma of needing sequence comparison on untrustworthy raw data.
  • To provide a solution for improving the quality of raw DNA sequences before further processing.

Main Methods:

  • Design and implementation of a dedicated software program named LUCY.

Related Experiment Videos

  • Iterative, experience-driven modifications to enhance accuracy and handle challenging input cases.
  • Development of a quality assessment module within the LUCY program.
  • Main Results:

    • LUCY has been successfully used since 1998 at The Institute for Genomic Research (TIGR).
    • The program effectively removes vector splice sites and contaminants from raw DNA sequences.
    • LUCY achieves a balance in addressing raw sequence cleaning issues, improving data quality.

    Conclusions:

    • LUCY is a valuable tool for the research community, enhancing raw DNA sequence quality.
    • The program provides a necessary step for reliable genomic data processing.
    • LUCY offers a balanced approach to the complexities of raw sequence cleaning.