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 Concept Videos

Legal Guidelines for Documentation01:06

Legal Guidelines for Documentation

The legal guidelines for nursing documentation are essential for ensuring accurate, professional, and ethical recording of patient care. The guidelines are discussed here:

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

The WHO Classification of Genetic Tumour Syndromes: Considerations for Genetics.

Clinical genetics·2026
Same author

Re: "A novel splice-altering frameshift variant in the COL1A1 gene underlies osteogenesis imperfecta type I: molecular characterization of a four-generation Chinese pedigree and literature review".

Human genomics·2026
Same author

Why Non-ASCII Unicode Characters Should Not Be Used in the Human Genome Variation Society Nomenclature.

The Journal of molecular diagnostics : JMD·2026
Same author

The WHO Classification of Genetic Tumour Syndromes: Considerations for histopathology.

Histopathology·2026
Same author

PON-Del predictor for sequence retaining protein deletions.

PLoS computational biology·2026
Same author

Proteome-Wide Analysis of Human Deletions.

Proteins·2025
Same journal

Exploring the Functional Impact of Individual <i>DDX41</i> Variants With a Fast and Robust Cell-Based Method.

Human mutation·2026
Same journal

Modeling the Effects of Single Nucleotide Polymorphisms (SNPs) on the Structure and Function of the Human <i>RET</i> Gene: An In Silico Study.

Human mutation·2026
Same journal

Driver Mutation Subtypes Differentially Shape Immune Evasion Landscapes in Melanoma: An AI-Driven Inflammatory Pathway Model Implicating CCNE1.

Human mutation·2026
Same journal

Comment on "When the Outcome Contains the Exposure: Methodological Limits of a Genome-Wide Cross-Trait Analysis of Type 2 Diabetes and MASLD".

Human mutation·2026
Same journal

AI-Augmented Hematological Signatures for Equitable Detection of Hereditary Hemolytic Anemia Carriers: A Global Systematic Review and Meta-Analysis.

Human mutation·2026
Same journal

Pharmacovigilance Signal Detection and Mutually Exclusive Driver Mutations of the PI3K/AKT Pathway in Breast Cancer Treated With Capivasertib.

Human mutation·2026
See all related articles

Related Experiment Video

Updated: May 27, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

Guidelines for establishing locus specific databases.

Mauno Vihinen1, Johan T den Dunnen, Raymond Dalgleish

  • 1Institute of Biomedical Technology, University of Tampere, Finland. mauno.vihinen@uta.fi

Human Mutation
|November 5, 2011
PubMed
Summary
This summary is machine-generated.

Establishing locus-specific databases (LSDBs) requires careful planning and curation. This guide outlines essential steps and ethical considerations for creating and maintaining these vital genetic variation resources.

More Related Videos

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
13:19

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Published on: November 2, 2013

RNA Next-Generation Sequencing and a Bioinformatics Pipeline to Identify Expressed LINE-1s at the Locus-Specific Level
11:04

RNA Next-Generation Sequencing and a Bioinformatics Pipeline to Identify Expressed LINE-1s at the Locus-Specific Level

Published on: May 19, 2019

Related Experiment Videos

Last Updated: May 27, 2026

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering
09:43

Databases to Efficiently Manage Medium Sized, Low Velocity, Multidimensional Data in Tissue Engineering

Published on: November 22, 2019

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
13:19

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

Published on: November 2, 2013

RNA Next-Generation Sequencing and a Bioinformatics Pipeline to Identify Expressed LINE-1s at the Locus-Specific Level
11:04

RNA Next-Generation Sequencing and a Bioinformatics Pipeline to Identify Expressed LINE-1s at the Locus-Specific Level

Published on: May 19, 2019

Area of Science:

  • Genomics
  • Bioinformatics
  • Data Curation

Background:

  • Locus-specific databases (LSDBs) have collected genetic variation data for two decades.
  • Existing guidelines for LSDB establishment and maintenance are scattered, hindering accessibility for new curators.
  • LSDBs increasingly store information beyond raw genetic variation.

Purpose of the Study:

  • To provide a clear sequence of essential steps for establishing a locus-specific database (LSDB).
  • To offer guidelines for each step of LSDB creation and maintenance.
  • To address the need for systematic data management and ethical considerations in genetic variation databases.

Main Methods:

  • Systematic data collection from diverse sources.
  • Standardized coding of genetic variation information.
  • Application of established nomenclatures, data models, and ontologies for data representation.
  • Adherence to ethical guidelines during data curation and distribution.

Main Results:

  • A structured approach to LSDB establishment and curation is presented.
  • Guidelines are provided for each critical step, from data collection to distribution.
  • Emphasis on systematic data representation for genotype-phenotype correlation analysis.

Conclusions:

  • Expertly curated LSDBs are crucial for research and clinical communities.
  • New curators are essential to ensure comprehensive coverage of disease-related genes.
  • Logical steps and ethical considerations facilitate effective LSDB management.