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

ESTMAP: a system for expressed sequence tags mapping on genomic sequences.

Luciano Milanesi1, Igor B Rogozin

  • 1CNR-ITB, Via Frotelli Corni, 93, Segrate, MI 20090, Italy.

IEEE Transactions on Nanobioscience
|September 24, 2004
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

Regulation of RPE65 expression in human retinal pigment epithelium cells.

Scientific reports·2025
Same author

Implementation of a Digital Maturity Framework for Biobanking.

Journal of biomedical informatics·2025
Same author

Comparative genomic analysis of trypanosomatid protists illuminates an extensive change in the nuclear genetic code.

mBio·2025
Same author

Paraoxonase-1 as a Cardiovascular Biomarker in Caribbean Hispanic Patients Treated with Clopidogrel: Abundance and Functionality.

International journal of molecular sciences·2024
Same author

Transmembrane protein TMEM230, regulator of metalloproteins and motor proteins in gliomas and gliosis.

Advances in protein chemistry and structural biology·2024
Same author

Long-term culture of patient-derived mammary organoids in non-biogenic electrospun scaffolds for identifying metalloprotein and motor protein activities in aging and senescence.

Advances in protein chemistry and structural biology·2024
Same journal

A Transparent, Microfluidic Lab On A Chip For Multi-Modal Cell Culture Monitoring For Neurotoxicity Research.

IEEE transactions on nanobioscience·2026
Same journal

Investigating Effect of Dimensional Variance on Separation of Glomerular Ultrafiltrate in a Microfluidic Environment.

IEEE transactions on nanobioscience·2026
Same journal

Green synthesis of multifunctional ZnFe<sub>2</sub>O<sub>4</sub>-MWCNT-Cellulose acetate nanocomposite for peroxidase enzyme immobilization.

IEEE transactions on nanobioscience·2026
Same journal

IoT-Enabled SnO₂-Based Humidity Sensor for Real-Time Monitoring in Neonatal Incubators.

IEEE transactions on nanobioscience·2026
Same journal

Electrokinetic and Antibiofilm Effects of Silver Nanoparticles Combined with Imipenem Against multidrug-resistant of Klebsiella pneumoniae.

IEEE transactions on nanobioscience·2026
Same journal

Bio-inspired Optofluidic Molecular Communication with Photothermally Actuated Microrobot Swarms.

IEEE transactions on nanobioscience·2026
See all related articles

Accurate protein-coding gene prediction is crucial for genome projects. The novel ESTMAP system enhances gene prediction by utilizing expressed sequence tags (ESTs) to identify introns in eukaryotic genomes.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Large-scale genome sequencing projects necessitate accurate protein-coding gene prediction.
  • Eukaryotic genomes present challenges for gene prediction due to complex exon-intron structures.

Purpose of the Study:

  • To develop a system for improving protein-coding gene prediction accuracy.
  • To leverage expressed sequence tags (ESTs) for enhanced gene identification.

Main Methods:

  • Developed the ESTMAP system for gene prediction.
  • Utilized homology searches against repetitive elements (RepeatView) and GenBank's EST database (BLASTN).
  • Extracted high-homology matches (>95%) between ESTs and query sequences to predict introns.

Related Experiment Videos

Main Results:

  • ESTMAP successfully extracts significant homology matches from EST data.
  • The system facilitates intron prediction by comparing ESTs with genomic sequences.
  • ESTMAP is integrated into the WebGene system.

Conclusions:

  • Homologous sequence information, particularly ESTs, significantly improves gene prediction accuracy.
  • The ESTMAP system offers a valuable tool for analyzing eukaryotic gene structures.
  • ESTMAP contributes to more precise gene identification in genomic research.