SACCHARIS: an automated pipeline to streamline discovery of carbohydrate active enzyme activities within polyspecific families and de novo sequence datasets

Darryl R. Jones, Dallas Thomas, Nicholas Alger, Ata Ghavidel, G. Douglas Inglis, D. Wade Abbott

Open source

DOI
10.1186/s13068-018-1027-x
Published
2018-02-05
Container
Biotechnology for Biofuels
Publisher
Springer Science and Business Media LLC
Open access
unknown

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BibTeX

@article{allodium:10.1186/s13068-018-1027-x,
  title = {SACCHARIS: an automated pipeline to streamline discovery of carbohydrate active enzyme activities within polyspecific families and de novo sequence datasets},
  author = {Darryl R. Jones and Dallas Thomas and Nicholas Alger and Ata Ghavidel and G. Douglas Inglis and D. Wade Abbott},
  year = {2018},
  journal = {Biotechnology for Biofuels},
  doi = {10.1186/s13068-018-1027-x},
  url = {https://doi.org/10.1186/s13068-018-1027-x}
}

RIS

TY  - JOUR
TI  - SACCHARIS: an automated pipeline to streamline discovery of carbohydrate active enzyme activities within polyspecific families and de novo sequence datasets
AU  - Darryl R. Jones
AU  - Dallas Thomas
AU  - Nicholas Alger
AU  - Ata Ghavidel
AU  - G. Douglas Inglis
AU  - D. Wade Abbott
PY  - 2018
JO  - Biotechnology for Biofuels
DO  - 10.1186/s13068-018-1027-x
UR  - https://doi.org/10.1186/s13068-018-1027-x
ER  - 

APA

Jones, D. R., Thomas, D., Alger, N., Ghavidel, A., Inglis, G. D., & Abbott, D. W. (2018). SACCHARIS: an automated pipeline to streamline discovery of carbohydrate active enzyme activities within polyspecific families and de novo sequence datasets. Biotechnology for Biofuels. https://doi.org/10.1186/s13068-018-1027-x

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