Author

Mohamed Ahmed Salih

ORCID 0000-0003-3631-8224Unclaimed ORCID profile · follow to get notified of new preprints

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Mohamed Ahmed Salih1 paper

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Organism:human· 2 Approach:statistical model· 2 Research Focus:differential expression· 1 Assay:GWAS summary statistics· 1

Frequent Co-Authors

Anfal Osama Mohamed SatiiD· 2 shared Alaa Ibrahim Mohammed Hassan· 1 shared Enas Abdalla Mohammed Ahmedon· 1 shared Enas dk. DawoudiD· 1 shared Manal S. A. Elseid· 1 shared Moshtaha Ali Ibrahim Elsammani· 1 shared Rouaa Babikir Ahmed Abduallah· 1 shared Safa YousifiD· 1 shared

Activity by Year

2018-2019 · peak 1/yr

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10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Anfal Osama Mohamed SatiORCID

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2 papers

Recent·Most cited

BioinformaticsbioRxivPreprintFeb 6, 2019

Prediction of Four Novel SNPs V17M, R11H, A66T, and F57S in the SBDS Gene Possibly Associated with Formation of Shwachman-Diamond Syndrome, using an Insilico Approach

Anfal Osama Mohamed Sati, Sara Ali Abdallah Ali, Rouaa Babikir Ahmed Abduallah…·Mohamed Ahmed Salih

The paper predicts four novel SNPs in the SBDS gene associated with Shwachman-Diamond Syndrome using in silico methods and identifies potential disease-causing variants.

1 citation

humanstatistical model

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BioinformaticsbioRxivPreprintOct 24, 2018

Single nucleotide polymorphisms of the c-MYC gene’s relationship with formation of Burkitt’s lymphoma using bioinformatics analysis

Anfal Osama Mohamed Sati, Weaam Anwer Osman, Enas Abdalla Mohammed Ahmedon…·Mohamed Ahmed Salih

This study investigates the relationship between c-MYC gene SNPs and Burkitt’s lymphoma formation using bioinformatics analysis of 286 SNPs, identifying eight potentially disease-causing variants.

1 citation

humanGWAS summary statistics

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