
Medhat Mahmoud
@medhatmahmoud_
Assistant Professor
@UTHealthHouston, @BCM_HGSC
Interests: Bioinformatics, SVs, SNVs, comparative genomics, data science.
ID: 1564278872
02-07-2013 22:43:55
845 Tweet
503 Followers
573 Following


Excited to see this finally published! Our latest work demonstrates how @Illumina short-read WGS data can resolve LPA KIV-2 repeat units, which is very significant for studying cardiovascular disease risks bmcmedgenomics.biomedcentral.com/articles/10.11… Fritz Sedlazeck Medhat Mahmoud Luis Paulin, PhD BCM HGSC



New from the lab with Fritz Sedlazeck. Brilliant analysis by Michal Izydorczyk of long read Oxford Nanopore WGS from single human brain cells, after droplet MDA amplification in the Samplix X-drop. Funded by Aligning Science Across Parkinson’s UCL Queen Square Institute of Neurology medrxiv.org/content/10.110…

Our special issue is lout on long-read sequencing PacBio / Oxford Nanopore ! Part 1 ;) genome.cshlp.org/content/34/11.… Super excited about all the new work and special thanks to all the authors! Also want to thank Hillary Genome Research Alexander Hoischen AnaConesa


Thanks for highlighting the Twist Alliance Dark Genes Panel (Medhat Mahmoud & Fritz Sedlazeck et al. medrxiv.org/content/10.110…) and the Twist Alliance Long-Read PGx Panel from Twist Bioscience twistbioscience.com/products/ngs/L… Customization is also possible! twistbioscience.com/products/ngs/c…




We are now accepting applications for scholarships to the Cold Spring Harbor Laboratory Biology of Genomes meeting from the jxtxFoundation. Open to students worldwide in support of open science. Please help spread the word! jxtxfoundation.org/news/2025-2-4-…


Radboudumc In collaboration with Fritz Sedlazeck et al. at BCM HGSC we developed a long-read Dark Genes panel that allows researchers to interrogate whatever was not accessible with short-read WGS by “Closing the gap: Solving complex medically relevant genes at scale” medrxiv.org/content/10.110…

We summarized state-of-the-art computational methods for DNA methylation analysis using long-read sequencing, covering everything from base calling to sample-level, cell-type-level, and even population-scale analysis. Huge Thanks to Fritz Sedlazeck and Winston Timp for this great work!
