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

Computational and experimental analysis identifies many novel human genes.

N Miyajima1, C B Burge, T Saito

  • 1Department of Genome Informatics, Kazusa DNA Research Institute, Chiba, Japan.

Biochemical and Biophysical Research Communications
|June 22, 2000
PubMed
Summary

Automated gene detection in human genomic sequences is challenging. The Virtual Transcribed Sequence project uses computational methods to identify novel human genes, improving upon existing databases.

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

Erratum to: Outcome of maintenance systemic chemotherapy with drug-free interval for metastatic urothelial carcinoma.

Japanese journal of clinical oncology·2020
Same author

Outcome of maintenance systemic chemotherapy with drug-free interval for metastatic urothelial carcinoma.

Japanese journal of clinical oncology·2019
Same author

Generation of pressures over 40 GPa using Kawai-type multi-anvil press with tungsten carbide anvils.

The Review of scientific instruments·2016
Same author

Combining FIB milling and conventional Argon ion milling techniques to prepare high-quality site-specific TEM samples for quantitative EELS analysis of oxygen in molten iron.

Journal of microscopy·2010
Same author

Superhard semiconducting optically transparent high pressure phase of boron.

Physical review letters·2009
Same author

An insight into what superconducts in polycrystalline boron-doped diamonds based on investigations of microstructure.

Proceedings of the National Academy of Sciences of the United States of America·2008

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Human genomic sequences are rapidly accumulating in public databases due to automation.
  • Current methods for gene detection in genomic sequences are often imprecise and labor-intensive.

Purpose of the Study:

  • To develop and evaluate a straightforward computational approach for analyzing gene content in human genomic sequences.
  • To identify novel human genes that may be missed by existing databases and methods.

Main Methods:

  • Implementation of the Virtual Transcribed Sequence (VTS) project.
  • Utilizing the GENSCAN gene prediction program for initial gene identification.
  • Employing similarity-based methods to refine gene predictions and identify novel candidates.

Related Experiment Videos

Main Results:

  • The VTS project successfully identified a significant number of novel human genes.
  • These newly identified genes were not previously present in expressed sequence tag (EST) databases.
  • The computational approach proved effective in analyzing gene content.

Conclusions:

  • The Virtual Transcribed Sequence project offers a robust and efficient method for human gene discovery.
  • This approach enhances the identification of novel human genes from large-scale genomic data.
  • Computational tools are crucial for advancing our understanding of the human genome.