A5043933943- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Molecular Biology Techniques and Applications
- Gene expression and cancer classification
- Genomics and Rare Diseases
- Chromosomal and Genetic Variations
- Genomics and Chromatin Dynamics
Qatar Airways (Qatar)
2020-2021
Sidra Medical and Research Center
2020
Qatar University
2019-2020
Abstract Advances in long-read sequencing have enabled routine complete assembly of human genomes, but much remains to be done represent broader populations and show impact on disease-gene discovery. Here, we report highly accurate, near-complete phased genomes from six Middle Eastern (ME) family trios ( n = 18) with neurodevelopmental conditions, representing ancestries Sudan, Jordan, Syria, Qatar Afghanistan. These revealed 42.2 Mb new sequence (13.8% impacting known genes), 75 HLA/KIR...
Abstract Background The data explosion caused by unprecedented advancements in the field of genomics is constantly challenging conventional methods used interpretation human genome. demand for robust algorithms over recent years has brought huge success Deep Learning (DL) solving many difficult tasks image, speech and natural language processing automating manual process architecture design. This been fueled through development new DL architectures. Yet possesses unique challenges that...
Abstract Background: The data explosion caused by unprecedented advancements in the field of genomics is constantly challenging conventional methods used interpretation human genome. demand for robust algorithms over recent years has brought huge success Deep Learning (DL) solving many difficult tasks image, speech and natural language processing automating manual process architecture design. This been fueled through development new DL architectures. Yet possesses unique challenges that...
The data explosion caused by unprecedented advancements in the field of genomics is constantly challenging conventional methods used interpretation human genome. demand for robust algorithms over recent years has brought huge success Deep Learning (DL) solving many difficult tasks image, speech and natural language processing automating manual process architecture design. This been fueled through development new DL architectures. Yet possesses unique challenges as we expect to provide a...
Abstract Background: The data explosion caused by unprecedented advancements in the field of genomics is constantly challenging conventional methods used interpretation human genome. demand for robust algorithms over recent years has brought huge success Deep Learning (DL) solving many difficult tasks image, speech and natural language processing automating manual process architecture design. This been fueled through development new DL architectures. Yet possesses unique challenges as we...
Abstract Background: The data explosion caused by unprecedented advancements in the field of genomics is constantly challenging conventional methods used interpretation human genome. demand for robust algorithms over recent years has brought huge success Deep Learning (DL) solving many difficult tasks image, speech and natural language processing automating manual process architecture design. This been fueled through development new DL architectures. Yet possesses unique challenges as we...