HBeeID: a molecular tool that identifies honey bee subspecies from different geographic populations

HBeeID: a molecular tool that identifies honey bee subspecies from different geographic populations / Donthu, Ravikiran; Marcelino, Jose A. P.; Giordano, Rosanna; Tao, Yudong; Weber, Everett; Avalos, Arian; Band, Mark; Akraiko, Tatsiana; Chen, Shu-Ching; Reyes, Maria P.; Hao, Haiping; Ortiz-Alvarado, Yarira; Cuff, Charles A.; P??rez Claudio, Eddie; Soto-Adames, Felipe; Smith-Pardo, Allan H.; Meikle, William G.; Evans, Jay D.; Giray, Tugrul; Abdelkader, Faten B.; Allsopp, Mike; Ball, Daniel; Morgado, Susana B.; Barjadze, Shalva; Correa-Benitez, Adriana; Chakir, Amina; B??ez, David R.; Chavez, Nabor H. M.; Dalmon, Anne; Douglas, Adrian B.; Fraccica, Carmen; Fern??ndez-Mar??n, Herm??genes; Galindo-Cardona, Alberto; Guzman-Novoa, Ernesto; Horsburgh, Robert; Kence, Meral; Kilonzo, Joseph; K??krer, Mert; Le Conte, Yves; Mazzeo, Gaetana; Mota, Fernando; Muli, Elliud; Oskay, Devrim; Ruiz-Mart??nez, Jos?? A.; Oliveri, Eugenia; Pichkhaia, Igor; Romane, Abderrahmane; Guillen Sanchez, Cesar; Sikombwa, Evans; Satta, Alberto; Scannapieco, Alejandra A.; Stanford, Brandi; Soroker, Victoria; Velarde, Rodrigo A.; Vercelli, Monica; Huang, Zachary. - In: BMC BIOINFORMATICS. - ISSN 1471-2105. - 25:1(2024). [10.1186/s12859-024-05776-9]