Ramy Aziz

Dr. Ramy Aziz

Cairo University, Faculty of Pharmacy
orcid

Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 February 2008 in BMC Genomics
Verified
Journal Article
Open access
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Ramy AzizRamy Aziz
Ramy Aziz
DBDaniela Bartels
Daniela Bartels
ABAaron A Best
Aaron A Best
MDMatthew DeJongh
Matthew DeJongh
TDTerrence Disz
Terrence Disz
OZOlga Zagnitko
Olga Zagnitko
Background: The number of prokaryotic genome sequences becoming available is growing steadily and is growing faster than our ability to accurately annotate them. Description: We describe a fully automated service for annotating bacterial and archaeal genomes. The service identifies protein-encoding, rRNA and tRNA genes, assigns functions to the genes, predicts which subsystems are represented in the genome, uses this information to reconstruct the metabolic network and makes the output easily downloadable for the user. In addition, the annotated genome can be browsed in an environment that supports comparative analysis with the annotated genomes maintained in the SEED environment. The service normally makes the annotated genome available within 12–24 hours of submission, but ultimately the quality of such a service will be judged in terms of accuracy, consistency, and completeness of the produced annotations. We summarize our attempts to address these issues and discuss plans for incrementally enhancing the service. Conclusion: By providing accurate, rapid annotation freely to the community we have created an important community resource. The service has now been utilized by over 120 external users annotating over 350 distinct genomes.

24 July 2014 in Nature Communications
Verified
Journal Article
Open access
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BDBas E. Dutilh
Bas E. Dutilh
NCNoriko Cassman
Noriko Cassman
KMKatelyn McNair
Katelyn McNair
SSSavannah E. Sanchez
Savannah E. Sanchez
GSGenivaldo G. Z. Silva
Genivaldo G. Z. Silva
RERobert Edwards
Robert Edwards
Metagenomics, or sequencing of the genetic material from a complete microbial community, is a promising tool to discover novel microbes and viruses. Viral metagenomes typically contain many unknown sequences. Here we describe the discovery of a previously unidentified bacteriophage present in the majority of published human faecal metagenomes, which we refer to as crAssphage. Its ~97 kbp genome is six times more abundant in publicly available metagenomes than all other known phages together; it comprises up to 90% and 22% of all reads in virus-like particle (VLP)-derived metagenomes and total community metagenomes, respectively; and it totals 1.68% of all human faecal metagenomic sequencing reads in the public databases. The majority of crAssphage-encoded proteins match no known sequences in the database, which is why it was not detected before. Using a new co-occurrence profiling approach, we predict a Bacteroides host for this phage, consistent with Bacteroides-related protein homologues and a unique carbohydrate-binding domain encoded in the phage genome.

14 May 2012 in Nucleic Acids Research
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Journal Article
Open access
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SASajia Akhter
Sajia Akhter
Ramy AzizRamy Aziz
Ramy Aziz
RERobert Edwards
Robert Edwards
Prophages are phages in lysogeny that are integrated into, and replicated as part of, the host bacterial genome. These mobile elements can have tremendous impact on their bacterial hosts’ genomes and phenotypes, which may lead to strain emergence and diversification, increased virulence or antibiotic resistance. However, finding prophages in microbial genomes remains a problem with no definitive solution. The majority of existing tools rely on detecting genomic regions enriched in protein-coding genes with known phage homologs, which hinders the de novo discovery of phage regions. In this study, a weighted phage detection algorithm, PhiSpy was developed based on seven distinctive characteristics of prophages, i.e. protein length, transcription strand directionality, customized AT and GC skew, the abundance of unique phage words, phage insertion points and the similarity of phage proteins. The first five characteristics are capable of identifying prophages without any sequence similarity with known phage genes. PhiSpy locates prophages by ranking genomic regions enriched in distinctive phage traits, which leads to the successful prediction of 94% of prophages in 50 complete bacterial genomes with a 6% false-negative rate and a 0.66% false-positive rate.

1 February 2006 in Current Biology
Verified
Journal Article
Closed access
JBJohn T. Buchanan
John T. Buchanan
ASAmelia J. Simpson
Amelia J. Simpson
Ramy AzizRamy Aziz
Ramy Aziz
GLGeorge Y. Liu
George Y. Liu
SKSascha A. Kristian
Sascha A. Kristian
VNVictor Nizet
Victor Nizet

23 January 2023 in Archives of Virology
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Journal Article
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University EnglandUniversity England
University England
ASAndrey N Shkoporov
Andrey N Shkoporov
CLCédric Lood
Cédric Lood
AKAndrew Kropinski
Andrew Kropinski
BDBas E. Dutilh
Bas E. Dutilh
EAEvelien Adriaenssens
Evelien Adriaenssens
This article summarises the activities of the Bacterial Viruses Subcommittee of the International Committee on Taxonomy of Viruses for the period of March 2021−March 2022. We provide an overview of the new taxa proposed in 2021, approved by the Executive Committee, and ratified by vote in 2022. Significant changes to the taxonomy of bacterial viruses were introduced: the paraphyletic morphological families Podoviridae, Siphoviridae, and Myoviridae as well as the order Caudovirales were abolished, and a binomial system of nomenclature for species was established. In addition, one order, 22 families, 30 subfamilies, 321 genera, and 862 species were newly created, promoted, or moved.

15 July 2007 in Nature Medicine
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Mark Joseph WalkerMark Joseph Walker
Mark Joseph Walker
AHAndrew Hollands
Andrew Hollands
MSMMartina Sanderson-Smith
MMartina Sanderson-Smith
JCJason N Cole
Jason N Cole
JKJoshua K Kirk
Joshua K Kirk
VNVictor Nizet
Victor Nizet