Combination of computational new approach methodologies for enhancing evidence of biological pathway conservation across species
Supplementary data for "Peter Schumann, Claudia Rivetti, Jade Houghton, Bruno Campos, Geoff Hodges, Carlie LaLone, Combination of computational new approach methodologies for enhancing evidence of biological pathway conservation across species, Science of The Total Environment, Volume 912, 2024, 168573, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2023.168573.".
This dataset is associated with the following publication:
Schumann, P., C. Rivetti, J. Houghton, B. Campos, G. Hodges, and C. LaLone. Combination of computational new approach methodologies for enhancing evidence of biological pathway conservation across species. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 912: 168573, (2024).
Resources
4 resources available
-
1-s2.0-S0048969723072017-mmc1.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET -
1-s2.0-S0048969723072017-mmc2.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET -
1-s2.0-S0048969723072017-mmc3.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET -
1-s2.0-S0048969723072017-mmc4.xlsx
APPLICATION/VND.OPENXMLFORMATS-OFFICEDOCUMENT.SPREADSHEETML.SHEET
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Complete Metadata
| accessLevel | public |
|---|---|
| bureauCode |
[
"020:00"
]
|
| contactPoint |
{
"fn": "Carlie LaLone",
"hasEmail": "mailto:lalone.carlie@epa.gov"
}
|
| description | Supplementary data for "Peter Schumann, Claudia Rivetti, Jade Houghton, Bruno Campos, Geoff Hodges, Carlie LaLone, Combination of computational new approach methodologies for enhancing evidence of biological pathway conservation across species, Science of The Total Environment, Volume 912, 2024, 168573, ISSN 0048-9697, https://doi.org/10.1016/j.scitotenv.2023.168573.". This dataset is associated with the following publication: Schumann, P., C. Rivetti, J. Houghton, B. Campos, G. Hodges, and C. LaLone. Combination of computational new approach methodologies for enhancing evidence of biological pathway conservation across species. SCIENCE OF THE TOTAL ENVIRONMENT. Elsevier BV, AMSTERDAM, NETHERLANDS, 912: 168573, (2024). |
| distribution |
[
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"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530084/1-s2.0-S0048969723072017-mmc1.xlsx"
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{
"title": "1-s2.0-S0048969723072017-mmc2.xlsx",
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"title": "1-s2.0-S0048969723072017-mmc3.xlsx",
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"downloadURL": "https://pasteur.epa.gov/uploads/10.23719/1530084/1-s2.0-S0048969723072017-mmc3.xlsx"
},
{
"title": "1-s2.0-S0048969723072017-mmc4.xlsx",
"mediaType": "application/vnd.openxmlformats-officedocument.spreadsheetml.sheet",
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|
| identifier | https://doi.org/10.23719/1530084 |
| keyword |
[
"Biological pathways",
"Genes to pathways",
"In silico methods",
"SeqAPASS",
"Species conservation analysis",
"ecotoxicology",
"new approach methodologies"
]
|
| license | https://pasteur.epa.gov/license/sciencehub-license.html |
| modified | 2023-11-12 |
| programCode |
[
"020:000"
]
|
| publisher |
{
"name": "U.S. EPA Office of Research and Development (ORD)",
"subOrganizationOf": {
"name": "U.S. Environmental Protection Agency",
"subOrganizationOf": {
"name": "U.S. Government"
}
}
}
|
| references |
[
"https://doi.org/10.1016/j.scitotenv.2023.168573"
]
|
| rights |
null
|
| title | Combination of computational new approach methodologies for enhancing evidence of biological pathway conservation across species |
