BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data (Q64099401)

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11 April 2020

title

BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data (English)

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11 April 2020

main subject

modeling and simulation

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author

Jean-Christophe Lachance

1

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11 April 2020

Laurence Yang

4

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11 April 2020

Anand Sastry

5

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11 April 2020

Bernhard Palsson

7

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11 April 2020

Adam M. Feist

9

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11 April 2020

Zachary King

10

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11 April 2020

Pierre-Étienne Jacques

11

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11 April 2020

3

Jonathan M Monk

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11 April 2020

2

Colton J Lloyd

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11 April 2020

6

Yara Seif

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11 April 2020

author name string

Sébastien Rodrigue

8

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11 April 2020

publication date

22 April 2019

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PLOS Computational Biology

11 April 2020

published in

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11 April 2020

volume

15

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11 April 2020

issue

4

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11 April 2020

page(s)

e1006971

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Creative Commons Attribution 4.0 International

11 April 2020

copyright license

start time

22 April 2019

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April 2022 Public Data File from Crossref

copyright status

copyrighted

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cites work

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The biomass objective function

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Integration of Biomass Formulations of Genome-Scale Metabolic Models with Experimental Data Reveals Universally Essential Cofactors in Prokaryotes

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Optimal classifier for imbalanced data using Matthews Correlation Coefficient metric

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iML1515, a knowledgebase that computes Escherichia coli traits.

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10.1371/JOURNAL.PCBI.1006971

Identifiers

DOI

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:31009451%20AND%20SRC:MED&resulttype=core&format=json

journals/ploscb/LachanceLMYSSPR19

11 April 2020

DBLP publication ID

1 reference

DBLP Dataset 2021-01-02

28 January 2021

1 reference

https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:31009451%20AND%20SRC:MED&resulttype=core&format=json

11 April 2020

PubMed publication ID

31009451

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