Cargando…
New Drosophila Long-Term Memory Genes Revealed by Assessing Computational Function Prediction Methods
A major bottleneck to our understanding of the genetic and molecular foundation of life lies in the ability to assign function to a gene and, subsequently, a protein. Traditional molecular and genetic experiments can provide the most reliable forms of identification, but are generally low-throughput...
Autores principales: | Kacsoh, Balint Z., Barton, Stephen, Jiang, Yuxiang, Zhou, Naihui, Mooney, Sean D., Friedberg, Iddo, Radivojac, Predrag, Greene, Casey S., Bosco, Giovanni |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Genetics Society of America
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6325913/ https://www.ncbi.nlm.nih.gov/pubmed/30463884 http://dx.doi.org/10.1534/g3.118.200867 |
Ejemplares similares
-
Machine Learning Analysis Identifies Drosophila Grunge/Atrophin as an Important Learning and Memory Gene Required for Memory Retention and Social Learning
por: Kacsoh, Balint Z., et al.
Publicado: (2017) -
Maternal Priming of Offspring Immune System in Drosophila
por: Bozler, Julianna, et al.
Publicado: (2019) -
Ten Simple Rules for a Community Computational Challenge
por: Friedberg, Iddo, et al.
Publicado: (2015) -
The impact of incomplete knowledge on the evaluation of protein function prediction: a structured-output learning perspective
por: Jiang, Yuxiang, et al.
Publicado: (2014) -
Nematocytes: Discovery and characterization of a novel anculeate hemocyte in Drosophila falleni and Drosophila phalerata
por: Bozler, Julianna, et al.
Publicado: (2017)