TIP_finder: An HPC Software to Detect Transposable Element Insertion Polymorphisms in Large Genomic Datasets.
- Published in:
- Biology (2079-7737), 2020, v. 9, n. 9, p. 281, doi. 10.3390/biology9090281
- By:
- Publication type:
- Article
Works matching AU Piña, Johan S.
Results: 7
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PredictION: a predictive model to establish the performance of Oxford sequencing reads of SARS-CoV-2.
- Published in:
- PeerJ, 2022, p. 1, doi. 10.7717/peerj.14425
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- Publication type:
- Article
3
K-mer-based machine learning method to classify LTR-retrotransposons in plant genomes.
- Published in:
- PeerJ, 2021, p. 1, doi. 10.7717/peerj.11456
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- Publication type:
- Article
4
Genomic object detection: An improved approach for transposable elements detection and classification using convolutional neural networks.
- Published in:
- PLoS ONE, 2023, v. 18, n. 9, p. 1, doi. 10.1371/journal.pone.0291925
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- Publication type:
- Article
5
Measuring Performance Metrics of Machine Learning Algorithms for Detecting and Classifying Transposable Elements.
- Published in:
- Processes, 2020, v. 8, n. 6, p. 638, doi. 10.3390/pr8060638
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- Publication type:
- Article
6
G-SAIP: Graphical Sequence Alignment Through Parallel Programming in the Post-Genomic Era.
- Published in:
- Evolutionary Bioinformatics, 2023, p. 1, doi. 10.1177/11769343221150585
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- Publication type:
- Article
7
G-SAIP: Graphical Sequence Alignment Through Parallel Programming in the Post-Genomic Era.
- Published in:
- Evolutionary Bioinformatics, 2023, v. 19, p. 1, doi. 10.1177/11769343221150585
- By:
- Publication type:
- Article