Deciphering Genomic Complexity of Multiple Myeloma Using Optimized Optical Genome Mapping.

Saved in:
Bibliographic Details
Title: Deciphering Genomic Complexity of Multiple Myeloma Using Optimized Optical Genome Mapping.
Authors: Guermouche H; Institute of Medical Genetics, Lille University Hospital, Lille, France., Roynard P; Institute of Medical Genetics, Lille University Hospital, Lille, France., Servoli F; Institute of Medical Genetics, Lille University Hospital, Lille, France., Lestringant V; Department of Biological Hematology, Amiens-Picardie University Hospital, Amiens, France., Quilichini B; Eurofins-Biomnis Laboratory, Lyon, France., Terré C; Hematological Cytogenetics Laboratory, Versailles University Hospital, Le Chesnay, France., Defasque S; Hematological Cytogenetics Sector, Cerba Laboratory, Saint-Ouen l'Aumône, France., Roche-Lestienne C; Institute of Medical Genetics, Lille University Hospital, Lille, France; University Lille, Centre National de la Recherche Scientifique, Inserm, Lille University Hospital, Institut pour la Recherche sur le Cancer de Lille, UMR9020-UMR1277-Canther-Cancer Heterogeneity, Plasticity and Resistance to Therapies, Lille, France., Penther D; Oncogenetics, Henri Becquerel Center, Rouen, France., Daudignon A; Institute of Medical Genetics, Lille University Hospital, Lille, France; Hematology and Immunology Laboratory, Valenciennes University Hospital, Valenciennes, France. Electronic address: agnes.daudignon@chu-lille.fr.
Source: The Journal of molecular diagnostics : JMD [J Mol Diagn] 2025 Apr; Vol. 27 (4), pp. 306-322.
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 100893612 Publication Model: Print Cited Medium: Internet ISSN: 1943-7811 (Electronic) Linking ISSN: 15251578 NLM ISO Abbreviation: J Mol Diagn Subsets: MEDLINE
Database: MEDLINE Ultimate
Be the first to leave a comment!
You must be logged in first