Cargando…
TIP_finder: An HPC Software to Detect Transposable Element Insertion Polymorphisms in Large Genomic Datasets
Transposable elements (TEs) are non-static genomic units capable of moving indistinctly from one chromosomal location to another. Their insertion polymorphisms may cause beneficial mutations, such as the creation of new gene function, or deleterious in eukaryotes, e.g., different types of cancer in...
Autores principales: | Orozco-Arias, Simon, Tobon-Orozco, Nicolas, Piña, Johan S., Jiménez-Varón, Cristian Felipe, Tabares-Soto, Reinel, Guyot, Romain |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7563458/ https://www.ncbi.nlm.nih.gov/pubmed/32917036 http://dx.doi.org/10.3390/biology9090281 |
Ejemplares similares
-
A systematic review of the application of machine learning in the detection and classification of transposable elements
por: Orozco-Arias, Simon, et al.
Publicado: (2019) -
G-SAIP: Graphical Sequence Alignment Through Parallel Programming in
the Post-Genomic Era
por: Piña, Johan S., et al.
Publicado: (2023) -
Genomic object detection: An improved approach for transposable elements detection and classification using convolutional neural networks
por: Orozco-Arias, Simon, et al.
Publicado: (2023) -
InpactorDB: A Classified Lineage-Level Plant LTR Retrotransposon Reference Library for Free-Alignment Methods Based on Machine Learning
por: Orozco-Arias, Simon, et al.
Publicado: (2021) -
K-mer-based machine learning method to classify LTR-retrotransposons in plant genomes
por: Orozco-Arias, Simon, et al.
Publicado: (2021)