Accurate prediction of absolute prokaryotic abundance from DNA concentration.

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Title: Accurate prediction of absolute prokaryotic abundance from DNA concentration.
Authors: Wirbel J; Department of Medicine, Division of Hematology, Stanford University, Stanford, CA, USA. Electronic address: wirbel@stanford.edu., Andermann TM; Department of Medicine, Division of Infectious Diseases, University of North Carolina at Chapel Hill, NC, USA., Brooks EF; Department of Medicine, Division of Hematology, Stanford University, Stanford, CA, USA., Evans L; Department of Medicine, Division of Infectious Diseases, University of North Carolina at Chapel Hill, NC, USA., Groth A; Department of Medicine, Division of Infectious Diseases, University of North Carolina at Chapel Hill, NC, USA., Dvorak M; Department of Biology, Stanford University, Stanford, CA, USA., Chakraborty M; Department of Genetics, Stanford University, Stanford, CA, USA., Palushaj B; Department of Neurology & Neurological Sciences, Stanford University, Stanford, CA, USA., Reynolds GZM; Department of Genetics, Stanford University, Stanford, CA, USA., Porter IE; Department of Genetics, Stanford University, Stanford, CA, USA., Al Malki M; Department of Hematology & Hematopoietic Cell Transplantation, City of Hope National Medical Center, Duarte, CA, USA., Rezvani A; Blood and Marrow Transplantation and Cellular Therapy Unit, Stanford University School of Medicine, Stanford, CA, USA., Gooptu M; Hematologic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA., Elmariah H; Blood and Marrow Transplant and Cellular Immunotherapy, H. Lee Moffitt Cancer and Research Center, Tampa, FL, USA., Runaas L; Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI, USA., Fei T; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA., Martens MJ; Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI, USA; Division of Biostatistics, Medical College of Wisconsin, Milwaukee, WI, USA., Bolaños-Meade J; Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Hamadani M; Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI, USA., Holtan S; Blood and Marrow Transplantation Section, Department of Medicine, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA., Jenq R; Department of Hematology & Hematopoietic Cell Transplantation, City of Hope National Medical Center, Duarte, CA, USA., Peled JU; Adult Bone Marrow Transplantation Service, Memorial Sloan Kettering Cancer Center, New York City, NY, USA; Department of Medicine, Weill Cornell Medical College, New York City, NY, USA., Horowitz MM; Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI, USA., Poston KL; Department of Neurology & Neurological Sciences, Stanford University, Stanford, CA, USA., Saber W; Center for International Blood and Marrow Transplant Research, Medical College of Wisconsin, Milwaukee, WI, USA., Kean LS; Hematologic Oncology, Dana-Farber Cancer Institute, Boston, MA, USA; Division of Pediatric Hematology and Oncology, Boston Children's Hospital, Boston, MA, USA; Department of Pediatrics, Harvard Medical School, Boston, MA, USA., Perales MA; Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York City, NY, USA; Adult Bone Marrow Transplantation Service, Memorial Sloan Kettering Cancer Center, New York City, NY, USA., Bhatt AS; Department of Medicine, Division of Hematology, Stanford University, Stanford, CA, USA; Department of Genetics, Stanford University, Stanford, CA, USA. Electronic address: asbhatt@stanford.edu.
Source: Cell reports methods [Cell Rep Methods] 2025 May 19; Vol. 5 (5), pp. 101030. Date of Electronic Publication: 2025 Apr 28.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Inc Country of Publication: United States NLM ID: 9918227360606676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2667-2375 (Electronic) Linking ISSN: 26672375 NLM ISO Abbreviation: Cell Rep Methods Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2667-2375
DOI:10.1016/j.crmeth.2025.101030