Detecting outliers in segmented genomes of flu virus using an alignment-free approach.

Daoud M

DOI: 10.5808/gi.2020.18.1.e2
Published: 2020 Mar
Container: Genomics & informatics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.5808/gi.2020.18.1.e2,
  title = {Detecting outliers in segmented genomes of flu virus using an alignment-free approach.},
  author = {Daoud M},
  year = {2020},
  journal = {Genomics \& informatics},
  doi = {10.5808/gi.2020.18.1.e2},
  url = {https://doi.org/10.5808/gi.2020.18.1.e2}
}

RIS

TY  - JOUR
TI  - Detecting outliers in segmented genomes of flu virus using an alignment-free approach.
AU  - Daoud M
PY  - 2020
JO  - Genomics & informatics
DO  - 10.5808/gi.2020.18.1.e2
UR  - https://doi.org/10.5808/gi.2020.18.1.e2
ER  -

APA

M, D. (2020). Detecting outliers in segmented genomes of flu virus using an alignment-free approach.. Genomics & informatics. https://doi.org/10.5808/gi.2020.18.1.e2

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pubmed · retrieved 2026-09-25T00:29:31.067Z