Learning supervised embeddings for large scale sequence comparisons.
Similarity-based search of sequence collections is a core task in bioinformatics, one dominated for most of the genomic era by exact and heuristic alignment-based algorithms. However, even efficient heuristics such as BLAST may not scale to the data sets now emerging, motivating a range of alignment...
Збережено в:
| Автори: | , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Public Library of Science (PLoS)
2020-01-01
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| Серія: | PLoS ONE |
| Онлайн доступ: | https://doi.org/10.1371/journal.pone.0216636 |
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