Jove
Visualize
Contáctanos
JoVE
x logofacebook logolinkedin logoyoutube logo
ACERCA DE JoVE
Visión GeneralLiderazgoBlogCentro de Ayuda JoVE
AUTORES
Proceso de PublicaciónConsejo EditorialAlcance y PolíticasRevisión por ParesPreguntas FrecuentesEnviar
BIBLIOTECARIOS
TestimoniosSuscripcionesAccesoRecursosConsejo Asesor de BibliotecasPreguntas Frecuentes
INVESTIGACIÓN
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchivo
EDUCACIÓN
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualCentro de Recursos para ProfesoresSitio de Profesores
Términos y Condiciones de Uso
Política de Privacidad
Políticas

Video Experimental Relacionado

Updated: Sep 9, 2025

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.2K

DeepAnnotation: Un nuevo modelo de selección genómica interpretable basado en el aprendizaje profundo que integra

Wenlong Ma1,2, Weigang Zheng1,2,3, Shenghua Qin1,2

  • 1State Key Laboratory of Genome and Multi-omics Technologies, Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Key Laboratory of Livestock and Poultry Multi-Omics of MARA, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen 518124, China.

GigaScience
|August 28, 2025
PubMed
Resumen

Videos de Conceptos Relacionados

Genome Annotation and Assembly03:36

Genome Annotation and Assembly

19.3K
The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.
19.3K
Genomics02:02

Genomics

37.4K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
37.4K
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

14.1K
Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
14.1K
Improving Translational Accuracy02:07

Improving Translational Accuracy

11.8K
Base complementarity between the three base pairs of mRNA codon and the tRNA anticodon is not a failsafe mechanism. Inaccuracies can range from a single mismatch to no correct base pairing at all. The free energy difference between the correct and nearly correct base pairs can be as small as 3 kcal/ mol. With complementarity being the only proofreading step, the estimated error frequency would be one wrong amino acid in every 100 amino acids incorporated. However, error frequencies observed in...
11.8K
Genetic Screens02:46

Genetic Screens

5.1K
Genetic screens are tools used to identify genes and mutations responsible for phenotypes of interest. Genetic screens help identify individuals or a group of people at risk of developing  genetic diseases and help them with early intervention, targeted therapy, and reproductive options.
Forward genetic screens
Forward or “classical” genetic screens involve creating random mutations in an organism’s DNA using radiation, mutagens, or insertion of additional bases, which...
5.1K
Synthetic Biology02:55

Synthetic Biology

5.0K
Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...
5.0K

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por
Same author

Loneliness, traditional risk factor control, genetic predisposition, and development of musculoskeletal disorders.

Rheumatology (Oxford, England)·2026
Same author

The Flexible Sound Source.

ACS applied materials & interfaces·2026
Same author

Diradical-featured <i>N</i>-arene croconaine-based nanoagent for synergistic photodynamic/photothermal tumor therapy.

Journal of materials chemistry. B·2026
Same author

EXPRESS: Advances in artificial intelligence for neuroimaging.

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism·2026
Same author

Changes in frailty and incident risk of degenerative bone and joint diseases and their multimorbidity: a prospective cohort study.

Frontiers in public health·2026
Same author

Association of Dietary Approaches to Stop Hypertension Diet With the Risk of Osteoporosis and Fracture: A Systematic Review and Meta-Analysis.

Food science & nutrition·2026
Same journal

NanoporeDB: A Structural Resource Of Multimeric Protein Nanopores For Single-Molecule Sensing.

GigaScience·2026
Same journal

From the Brain Cell Atlas to Precision Neurology: A review of the application of AI-driven multi-omics in brain science.

GigaScience·2026
Same journal

Comparison of Deep Learning Approaches for Extreme Low-SNR Image Restoration.

GigaScience·2026
Same journal

ScopeViewer: A Browser-Based Solution for Visualizing Large Biological Images.

GigaScience·2026
Same journal

ChatMDV: Reducing Technical Barriers in Bioinformatics Analysis using Large Language Models.

GigaScience·2026
Same journal

ClusterGraph: a new tool for visualisation and compression of multidimensional data.

GigaScience·2026
Ver todos los artículos relacionados
Este resumen es generado por máquina.

DeepAnnotation, un nuevo modelo de aprendizaje profundo, mejora la selección genómica mediante la integración de datos multiómicos para una predicción de fenotipo superior. Este enfoque interpretable mejora la precisión e identifica los SNPs causales para la cría de ganado.

Área de la Ciencia:

  • Ciencias Agrícolas
  • La bioinformática
  • La genética

Sus antecedentes:

  • La selección genómica acelera la mejora de los rasgos del ganado utilizando información genómica.
  • Los datos multiómicos ofrecen el potencial para mejorar la selección genómica con el conocimiento biológico.
  • La predicción precisa del fenotipo utilizando datos multiómicos en la selección genómica aún se está desarrollando.

Objetivo del estudio:

  • Desarrollar DeepAnnotation, un modelo de aprendizaje profundo interpretable para la predicción de fenotipos.
  • Integrar las anotaciones funcionales multiómicas en un marco de aprendizaje profundo para la selección genómica.
  • Mejorar la precisión y la eficiencia de la predicción de características económicamente importantes en el ganado.

Principales métodos:

Palabras clave:
Los SNPs causalesaprendizaje profundoSelección genómicafenótipos moleculares intermediosInterpretabilidadLas anotaciones funcionales multiómicas

Más Videos Relacionados

Identification and Classification of Position-specific GABAA Receptor Subunit Missense Variants for Their Role In Hippocampal Pyramidal Neurons
08:04

Identification and Classification of Position-specific GABAA Receptor Subunit Missense Variants for Their Role In Hippocampal Pyramidal Neurons

Published on: June 6, 2025

492
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

892

Videos de Experimentos Relacionados

Last Updated: Sep 9, 2025

Author Spotlight: Advancing Alzheimer's Research &#8211; Exploring Early Detection and Multi-Omics Approaches
09:47

Author Spotlight: Advancing Alzheimer's Research – Exploring Early Detection and Multi-Omics Approaches

Published on: December 15, 2023

1.2K
Identification and Classification of Position-specific GABAA Receptor Subunit Missense Variants for Their Role In Hippocampal Pyramidal Neurons
08:04

Identification and Classification of Position-specific GABAA Receptor Subunit Missense Variants for Their Role In Hippocampal Pyramidal Neurons

Published on: June 6, 2025

492
Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers
03:37

Author Spotlight: Impact of Intergenic Interactions on Disease-Identifying Dark Biomarkers

Published on: March 1, 2024

892
  • Desarrolló DeepAnnotation, un modelo de aprendizaje profundo que alinea las anotaciones multiómicas con capas de red secuenciales.
  • Modelado la cascada de genotipo a fenotipo desde elementos cis-reguladores hasta genes, módulos y rasgos.
  • Evaluación del rendimiento del modelo con respecto a siete modelos clásicos de selección genómica.

    • Principales resultados:

    • DeepAnnotation demostró una precisión de predicción significativamente superior (aumento del 6,4% 120,0%) en comparación con siete modelos clásicos.
    • Se logró una alta eficiencia computacional en la predicción de tres rasgos de la producción de carne de cerdo (porcentaje de carne magra, profundidad del músculo del lombo, espesor de la grasa de la espalda).
    • Permitió la identificación de posibles polimorfismos causales de un solo nucleótido (SNP) y sus mecanismos moleculares.

    Conclusiones:

    • DeepAnnotation es una herramienta de aprendizaje profundo interpretable de código abierto para la predicción de fenotipos en la selección genómica.
    • El modelo aprovecha efectivamente las anotaciones funcionales multiómicas para una predicción mejorada.
    • Proporciona un recurso valioso para los investigadores y profesionales de la cría de ganado y la genética.