_____________________________________________________________________________________________________ *Corresponding author: E-mail: dr.dalia.ragab@hotmail.com; Microbiology Research Journal International 22(6): 1-11, 2017; Article no.MRJI.39249 ISSN: 2456-7043 (Past name: British Microbiology Research Journal, Past ISSN: 2231-0886, NLM ID: 101608140) DNA Microarray-based Identification of Fungal Pathogens in Neutropenic Patients in Alexandria University Hospitals in a Twelve-month Interval Dalia El-Sayed Metwally 1* , Abeer Abdel Rahim Ghazal 1 , Nadia Ali Sdek 2 , Shady Hassan Fadel 3 and Yasmeen Abd El Raouf Arafat 4 1 Department of Microbiology, Medical Research Institute, Alexandria University, Egypt. 2 Department of Haematology, Medical Research Institute, Alexandria University, Egypt. 3 Department of Clinical Oncology and Nuclear Medicine, Faculty of Medicine, Alexandria University, Egypt. 4 Faculty of Pharmaceutical Science, Alexandria University, Egypt. Authors’ contributions This work was carried out in collaboration between all authors. Author DESM designed the study. Author YAERA performed the statistical analysis. Author DESM wrote the protocol. Authors DESM and AARG wrote the first draft of the manuscript. Authors NAS and SHF managed the analyses of the study. Author DESM managed the literature searches. All authors read and approved the final manuscript. Article Information DOI: 10.9734/MRJI/2017/39249 Editor(s): (1) Laleh Naraghi, Plant Disease Research Department, Iranian Research Institute of Plant Protection, Tehran, Iran. Reviewers: (1) Neema Tiwari, King George's Medical University, India. (2) Learn-Han Lee, Monash University, Malaysia. Complete Peer review History: http://www.sciencedomain.org/review-history/23298 Received 27 th November 2017 Accepted 7 th February 2018 Published 23 rd February 2018 ABSTRACT Background: Systemic fungal infections are increasing, and they cause severe morbidity and high mortality rates among immuno-compromised patients. Conventional laboratory methods for identifying fungal pathogens, although continuously improving, are still time consuming. Therefore, they are usually inadequate for ensuring early targeted therapy, especially for uncommon or newly identified fungal species. Molecular detection and identification using polymerase chain reaction for the amplification of fungal DNA is being applied more frequently for the early diagnosis and identification of fungal pathogens. Original Research Article