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Functional Annotation of ANimal Genomes (FAANG) Project
A coordinated international action to accelerate Genome to Phenome
This website represents the online home of the Functional Annotation of ANimal Genomes (FAANG) consortium. We aim to identify all functional elements in animal genomes.
The most significant challenge in the post-genomic era is connecting genotype to quantitative phenotype in basic and applied biology - the genome to phenome challenge.
Significant progress has been made in associating sequence variation with quantitative phenotypes motivated by the importance of animals as food sources, models for human health, and key ecological actors. In domesticated animals, the wealth of phenotypic diversity of different breeds and populations and decades of research have been key to such progress, and coupled with advances in sequencing the genomes of these species provides unique opportunities to study genome-phenome relationships.
FAANG has been created as we all recognise the importance of coordinating this effort to maximize efficiency and data quality as demonstrated by the ENCODE project.
FAANG aims to deliver standardized datasets from a limited set of individuals representing species which have reference quality draft genome assemblies and substantial publicly available phenotypic datasets.
FAANG Contributors Worldwide
The FAANG project will establish an infrastructure capable of efficiently analyzing genome-wide functional data for animal species. Such large-scale analyses will contribute to our understanding of how variation in gene sequences and functional components determine phenotypic diversity. This understanding will inform the development and exploitation of improved models for predicting complex phenotypes from sequence information.
FAANG project members agree to these core principles:
- Working with the FAANG community to define experimental, meta data, and bioinformatics standards
- Ensure the experiments you conduct to produce functional annotation of your genomes of interest adhere to these standards.
- Release all data produced in an open access manner, rapidly and before publication, in adherence to the "FAANG Data Sharing Statement" which included both the "Toronto Statement" about pre-publication data sharing and the "Fort Lauderdale principles" about the release of data and materials prior to publication.
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