Insights into functional classification via gene co-expression networks in sunflower using public transcriptomic datasets

We present the first preliminary sunflower gene co-expression network using public transcriptome data in Helianthus annuus and show its utility in identifying and classifying uncharacterized genes involved in stress response. The locus HanXRQChr09g0248321 was identified and linked to several WRKY tr...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Ribone, Andrés I., Gonzales, Sergio, Paniego, Norma, Lía, Verónica, Rivarola, Máximo
Formato: Objeto de conferencia
Lenguaje:Inglés
Publicado: 2021
Materias:
Ciencias Informáticas
Gene Co-expression Networks
RNAseq
Functional Annotation
Big Data
Sunflower
Acceso en línea:http://sedici.unlp.edu.ar/handle/10915/140689
http://50jaiio.sadio.org.ar/pdfs/cai/CAI-15.pdf
Aporte de:
SEDICI (UNLP) de Universidad Nacional de La Plata

Ejemplares similares

Ejemplares similares