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

TRES: comparative promoter sequence analysis.

M V Katti1, M K Sakharkar, P K Ranjekar

  • 1Plant Molecular Biology Unit, Division of Biochemical Sciences, National Chemical Laboratory, Pune 411 008, India.

Bioinformatics (Oxford, England)
|December 1, 2000
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

Pharmacokinetic study of two sulfamethoxazole-phytochemical antimicrobial conjugates in mice.

Die Pharmazie·2025
Same author

Association of timing of congenital diaphragmatic hernia repair with survival and morbidity for patients not requiring extra-corporeal life support.

Journal of neonatal-perinatal medicine·2022
Same author

Post-graduate exams amidst COVID-19 pandemic: Our experience.

Indian journal of ophthalmology·2020
Same author

Comparison of Fully Automated and Semi-Automated Methods for Species Identification.

Folia biologica·2019
Same author

Characterization of the purified multifunctional cellulase component of Penicillium funiculosum.

Biotechnology letters·2017
Same author

A randomized controlled prospective study to assess the role of subconjunctival bevacizumab in primary pterygium surgery in Indian patients.

Indian journal of ophthalmology·2015
Same journal

Cross-Domain Transfer Learning from Peptides to Metabolites Using a Multi-Property Fine-Tuned LLM.

Bioinformatics (Oxford, England)·2026
Same journal

Biomedical Concept Recognition with Error-aware Negative-enhanced Ranking Framework.

Bioinformatics (Oxford, England)·2026
Same journal

TEDLH: Domain HMMs for sensitive detection of remote homologues.

Bioinformatics (Oxford, England)·2026
Same journal

PLNFGL: Joint Estimation of Multi-Condition Gene Networks from Single-cell RNA-seq Data.

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

This study introduces a new software tool for comparative promoter analysis. It identifies conserved regulatory elements in DNA sequences, aiding in the discovery of gene regulation mechanisms.

Area of Science:

  • Genomics
  • Bioinformatics
  • Computational Biology

Background:

  • Comparative promoter analysis aids in understanding gene regulation by identifying conserved regulatory modules.
  • Identifying these conserved elements is crucial for understanding evolutionary relationships and gene expression patterns.

Purpose of the Study:

  • To develop a software tool that facilitates comparative promoter analysis.
  • The tool aims to detect conserved transcription factor binding sites, cis-elements, palindromes, and k-tuples within multiple DNA sequences.

Main Methods:

  • Development of a novel software tool for sequence analysis.
  • The tool simultaneously analyzes sets of sequences to identify conserved motifs.

Main Results:

Related Experiment Videos

  • The software successfully detects conserved transcription factor binding sites, cis-elements, palindromes, and k-tuples.
  • This facilitates the identification of putative regulatory motifs.

Conclusions:

  • The developed software tool is effective for comparative promoter analysis.
  • It aids researchers in identifying conserved regulatory elements for further experimental design and investigation into gene regulation.