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The <t>REST</t> <t>API</t> environment (accessed on 11 January 2024) for the PPARδ agonist bioactivity prediction.
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The <t>REST</t> <t>API</t> environment (accessed on 11 January 2024) for the PPARδ agonist bioactivity prediction.
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The <t>REST</t> <t>API</t> environment (accessed on 11 January 2024) for the PPARδ agonist bioactivity prediction.
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The <t>REST</t> <t>API</t> environment (accessed on 11 January 2024) for the PPARδ agonist bioactivity prediction.
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The <t>REST</t> <t>API</t> environment (accessed on 11 January 2024) for the PPARδ agonist bioactivity prediction.
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The <t>REST</t> <t>API</t> environment (accessed on 11 January 2024) for the PPARδ agonist bioactivity prediction.
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The <t>REST</t> <t>API</t> environment (accessed on 11 January 2024) for the PPARδ agonist bioactivity prediction.
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23andMe 23andme api
Workflow for <t>the</t> <t>23andMe</t> <t>API.</t> A 23andMe customer, through a third-party application, sends API calls requesting for their genotypes within a given chromosomal location. This information is present within the 23andMe database as the customer's genetic test analysis report. Once the third-party application is successfully authenticated, the appropriate response is sent back to the customer. This response can then be combined with other sources of information for a more detailed downstream analysis and visualization.
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The REST API environment (accessed on 11 January 2024) for the PPARδ agonist bioactivity prediction.

Journal: International Journal of Molecular Sciences

Article Title: Development of a Robust Read-Across Model for the Prediction of Biological Potency of Novel Peroxisome Proliferator-Activated Receptor Delta Agonists

doi: 10.3390/ijms25105216

Figure Lengend Snippet: The REST API environment (accessed on 11 January 2024) for the PPARδ agonist bioactivity prediction.

Article Snippet: In order to enhance the accessibility and programmability of the predictive model, a Representational State Transfer (REST) application programming interface (API) was incorporated ( https://enaloscloud.novamechanics.com/scenarios/swagger-ui/index.html , accessed on 11 January 2024).

Techniques:

Workflow for the 23andMe API. A 23andMe customer, through a third-party application, sends API calls requesting for their genotypes within a given chromosomal location. This information is present within the 23andMe database as the customer's genetic test analysis report. Once the third-party application is successfully authenticated, the appropriate response is sent back to the customer. This response can then be combined with other sources of information for a more detailed downstream analysis and visualization.

Journal: Computational and Structural Biotechnology Journal

Article Title: A Review on Genomics APIs

doi: 10.1016/j.csbj.2015.10.004

Figure Lengend Snippet: Workflow for the 23andMe API. A 23andMe customer, through a third-party application, sends API calls requesting for their genotypes within a given chromosomal location. This information is present within the 23andMe database as the customer's genetic test analysis report. Once the third-party application is successfully authenticated, the appropriate response is sent back to the customer. This response can then be combined with other sources of information for a more detailed downstream analysis and visualization.

Article Snippet: Unlike the other two APIs, there is really no easy way to create a reference implementation for the 23andMe API since the data are securely managed within 23andMe's database and the only people with access to it are personnel within that organization.

Techniques: