OPERA-gSAM: Big Data Processing Framework for UMI Sequencing at High Scalability and Efficiency

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: OPERA-gSAM: Big Data Processing Framework for UMI Sequencing at High Scalability and Efficiency
Συγγραφείς: Caderno, Pablo Vazquez, Awaysheh, Feras M., Colino-Sanguino, Yolanda, Fuente, Laura Rodriguez De La, Valdes-Mora, Fatima, Cabaleiro, Jose C., Pena, Tomas F., Gallego-Ortega, David
Πηγή: 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW) CCGRIDW Cluster, Cloud and Internet Computing Workshops (CCGridW), 2023 IEEE/ACM 23rd International Symposium on. :160-167 May, 2023
Relation: 2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing Workshops (CCGridW)
Βάση Δεδομένων: IEEE Xplore Digital Library
Περιγραφή
ISBN:9798350302080
DOI:10.1109/CCGridW59191.2023.00038