Author

Ehsan Haghshenas

Simon Fraser University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Approach:experimental assay· 1 Research Focus:genome assembly· 1 Research Focus:phylogenetics / evolution· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Faraz HachiD· 2 shared Camir RickettsiD· 1 shared Cédric ChauveiD· 1 shared Daniel N. SeidmaniD· 1 shared Farid Rashidi MehrabadiiD· 1 shared Hossein Asghari· 1 shared Iman HajirasoulihaiD· 1 shared Jens StoyeiD· 1 shared

Activity by Year

2019-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersBioinformatics

Faraz HachORCID

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Author profile →

2 papers

Recent·Most cited

HASLR: Fast Hybrid Assembly of Long Reads

Ehsan Haghshenas, Hossein Asghari, Jens Stoye, Cédric Chauve, Faraz Hach

HASLR is a hybrid assembler that combines second and third generation sequencing reads to generate fast and accurate genome assemblies, outperforming other assemblers in speed and misassembly count.

iScience · Jul 25, 2020Peer-reviewedBioinformatics

PhISCS - A Combinatorial Approach for Sub-perfect Tumor Phylogeny Reconstruction via Integrative use of Single Cell and Bulk Sequencing Data

Salem Malikić, Simone Ciccolella, Farid Rashidi Mehrabadi, Camir Ricketts, Md. Khaledur Rahman, Ehsan Haghshenas, Daniel N. Seidman, Faraz Hach, Iman Hajirasouliha, S. Cenk Şahinalp

PhISCS integrates single-cell and bulk sequencing data to reconstruct sub-perfect tumor phylogenies by minimizing false negatives, false positives, and ISA violations.

Genome Research · Nov 1, 2019Peer-reviewedBioinformatics