A Bioinformatics Approach for the Identification of Developmental QTL Candidate Genes





A Bioinformatics Approach for the Identification of Developmental QTL Candidate Genes


Alejandro Q Nato Jr1, Bo Li2, Fang Chen1,
James H Millonig1,2,3, and Tara C Matise1



1Department of Genetics, Rutgers University, NJ
2Center for Advanced Biotechnology and Medicine, NJ
3UMDNJ-Robert Wood Johnson Medical School, NJ



A Collaborative Study of Millonig and Matise Labs


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