Genome-wide analysis of fitness data and its application to improve metabolic models.

Vitkin E, Solomon O, Sultan S, Yakhini Z

DOI: 10.1186/s12859-018-2341-9
Published: 2018 Oct 10
Container: BMC bioinformatics
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s12859-018-2341-9,
  title = {Genome-wide analysis of fitness data and its application to improve metabolic models.},
  author = {Vitkin E and Solomon O and Sultan S and Yakhini Z},
  year = {2018},
  journal = {BMC bioinformatics},
  doi = {10.1186/s12859-018-2341-9},
  url = {https://doi.org/10.1186/s12859-018-2341-9}
}

RIS

TY  - JOUR
TI  - Genome-wide analysis of fitness data and its application to improve metabolic models.
AU  - Vitkin E
AU  - Solomon O
AU  - Sultan S
AU  - Yakhini Z
PY  - 2018
JO  - BMC bioinformatics
DO  - 10.1186/s12859-018-2341-9
UR  - https://doi.org/10.1186/s12859-018-2341-9
ER  -

APA

E, V., O, S., S, S., & Z, Y. (2018). Genome-wide analysis of fitness data and its application to improve metabolic models.. BMC bioinformatics. https://doi.org/10.1186/s12859-018-2341-9

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pubmed · retrieved 2026-09-26T05:47:02.143Z