OECD Omics Reporting Framework (OORF) : Guidance on reporting elements for the regulatory use of omics data from laboratory-based toxicology studies / OECD.

Format:

Book

Author/Creator:

Organisation for Economic Co-operation and Development, author, issuing body.

Language:

English

Subjects (All):

Chemicals--Risk assessment.

Chemicals.

Toxicity testing.

Physical Description:

1 online resource

Other Title:

OECD Omics Reporting Framework

Place of Publication:

Paris : OECD Publishing, 2023.

Summary:

OECD Member Countries are interested in increasing the use of omics technologies in regulatory toxicology to advance chemical risk assessment. In this context, the OECD has developed this Guidance Document and accompanying Excel template for reporting omics studies, which is referred to as the OECD Omics Reporting Framework (OORF). The OORF is intended to facilitate data sharing for omics toxicology experiments, increase the transparency of omics data processing approaches used, enable quality assessment of the study experiment and data, and promote reproducibility.

Contents:

Introduction to OECD Omics Reporting Framework Guidance Document

1. Study Summary Reporting Module (SSRM)

1.1. Study identifiers

1.2. Study Rationale

1.3. Platform-Specific Data Acquisition and Processing Reporting Module (DAPRM)

1.4. Data Analysis Reporting Module (DARM)

2. Toxicology Experiment Reporting Module (TERM)

2.1. Study Rationale

2.2. Test and Control Items

2.3. Test System Characteristics

2.4. Study Design

2.5. Treatment Conditions

2.6. Study Exit & Sample Collection

2.7. Sample Identification Codes

2.8. Supporting Data Streams

2.9. References

3. Data Acquisition & Processing Reporting Modules

3.1. Microarray

3.2. RNA Sequencing and Targeted RNA Sequencing

3.3. Quantitative Reverse Transcription Polymerase Chain Reaction (qRT-PCR)

3.4. Mass Spectrometry Metabolomics

3.5. NMR Metabolomics

4. Data Analysis Reporting Modules

4.1. Differentially Abundant Molecules (using univariate methods) Module

4.2. Multivariate Statistical Analysis Module

4.3. Benchmark Dose Analysis and Quantification of Biological Potency.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

92-64-87570-0