| Autor: |
Kang ASW, Enright AJ |
| Jazyk: |
angličtina |
| Zdroj: |
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference [Annu Int Conf IEEE Eng Med Biol Soc] 2020 Jul; Vol. 2020, pp. 82-86. |
| DOI: |
10.1109/EMBC44109.2020.9176358 |
| Abstrakt: |
Nanopore-based approaches for the sequencing of DNA and RNA molecules are promising technologies with potential applications in clinical genomics. These approaches have generated large numbers of time series objects over the years, however, it remains a challenge to accurately decipher the underlying nucleotide sequence corresponding to a given signal. By using a combination of consensus signal averaging and stream monitoring of variable-length motifs, we outline an online pattern matching framework that can efficiently locate consensus sequences in real world Nanopore datasets. We demonstrate the applicability of our proposed framework across two use-cases: demultiplexing of DNA barcodes and multiple motif site identification in RNA transcripts. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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