M. Mahmoud
Molecular Biology · Nature Biotechnology · 2019–2024
A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Molecular Biology — 84 citations into it
- Artificial Intelligence — 8 citations into it
Whom M. Mahmoud trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Daehwan Kim
- Heng Li
- Mark J. P. Chaisson
- Steven L. Salzberg
- Ben Langmead
- Cole Trapnell
- Fritz J. Sedlazeck
- Jared T. Simpson
- Niranjan Nagarajan
- Leena Salmela
Papers from M. Mahmoud's perspective
Ordered by how strongly the researchers M. Mahmoud trusts endorse each paper. Same corpus, a different order for every researcher.
- Ultrafast and memory-efficient alignment of short DNA sequences to the human genome (Genome Biology)
- A framework for variation discovery and genotyping using next-generation DNA sequencing data
- A universal SNP and small-indel variant caller using deep neural networks
- Real-Time DNA Sequencing from Single Polymerase Molecules (Science)
- Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome (Nature Biotechnology)
- An integrated map of structural variation in 2,504 human genomes (Nature)
- Nanopore sequencing and assembly of a human genome with ultra-long reads (Nature Biotechnology)
- WhatsHap: Weighted Haplotype Assembly for Future-Generation Sequencing Reads (J. Comput. Biol.)
- BreakDancer: An algorithm for high resolution mapping of genomic structural variation (Nature Methods)
- Mapping copy number variation by population scale genome sequencing (Nature)
Their papers
- Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome (2019) — 1,512 citations
- Structural variant calling: the long and the short of it (2019) — 588 citations
- Detection of mosaic and population-level structural variants with Sniffles2 (2024) — 386 citations