# Hackathon November 2020 --- <!-- Put the link to this slide here so people can follow --> slides: https://hackmd.io/@Hackathon-November-2020/H1uGTGkqw --- # Project 6: Animal Transcriptomic Selection A Methodology for the animal selection from genetype + environment --- ## Primary focus Some challenges in genomic evaluations are computational complexity in estimating of non additive (particularly epistasis) effects, environmental concerns and multiple traits evaluations. Now, Next Generation Sequencing (NGS) technologies are readily producing lots of post genomics data in an cost-effective way. These omics data have been improved our understanding from Phenotype-Genotype relations. In the other words, they are closer to real phonotype. RNA-Seq data can be mapped back to the genome with the simultaneous availability of both sequence and transcription data. Here, it has been proposed two algorithms (integrated genomic and direct transcriptomic evaluations) to exploit sequences and read counts (as a weight index), leading to a whole transcription value index (WTVI) to rank animals with no concern on their own different environments. This is an idea to construct a computational framework for integrating of transcriptomic data into animal evaluations. it may take into account for non additive affects particularly epistatisis and interactions such as genetic*environment. This can be a landmark for post genomics era in animal breeding. --- ## People involved ### Proposed by - Mohammad Hossein Banabazi (Ph.D in Animal Genetics & Breeding, Deputy of Research and Technology, Animal Science Research Institute of IRAN - ASRI) ## Group members - Mohammad Hossein Banabazi (Ph.D in Animal Genetics & Breeding, Deputy of Research and Technology, Animal Science Research Institute of IRAN - ASRI)