Attia Fatima

 Assistant Professor
National Centre for Bioinformatics
Quaid-i-Azam University
Pakistan

Biography

Attia Fatima obtained her Ph.D from National University of Ireland, Galway, Ireland. She currently holds as an Assistant Professor in National Centre for Bioinformatics at Quaid-i-Azam University Islamabad, Pakistan. Her research focus mainly on Expression analysis of high throughput data using statistical techniques for data analysis including supervised and unsupervised learning and simulation. Data classification with machine learning algorithms including multiple linearregression and logisticregression. micoRNAs expression analysis, elucidation of microRNAs role in regulation of gene expression To meet this microRNA micro array and RNA-seq analysis,RNAi including inhibition of miRNA specific for target gene regulation. Research focused on the transciptome network construction to identify biomarkers through Network modules and hub genes identification.

Research Intrest

Expression analysis of high throughput data using statistical techniques for data analysis including supervised and unsupervised learning and simulation. Data classification with machine learning algorithms including multiple linearregression and logisticregression. micoRNAs expression analysis, elucidation of microRNAs role in regulation of gene expression To meet this microRNA  micro array and RNA-seq analysis,RNAi including inhibition of miRNA specific for target gene regulation. Research focused on the transciptome network construction to identify biomarkers through Network modules and hub genes identification. 

List of Publications
Fatima, Attia, et al. "Alterations in hepatic miRNA expression during negative energy balance in postpartum dairy cattle."      BMC Genomics 15.1 (2014): 28.  
Fatima, Attia, and Helen Roche, “Gender based weighted gene co-expression Network Analysis for biomarker identification”, submitted to Journal of  Molecular nutrition (2017) 
Fatima, Attia, and Dermot Gerard Morris. "Review: microRNAs in domestic livestock." Physiological genomics (2013).  

Global Scientific Words in Bioinformatics and Systems Biology