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Aleksey V. Zimin

Researcher at Johns Hopkins University

Publications -  96
Citations -  16554

Aleksey V. Zimin is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Genome & Reference genome. The author has an hindex of 37, co-authored 87 publications receiving 12952 citations. Previous affiliations of Aleksey V. Zimin include University of Maryland, College Park & Johns Hopkins University School of Medicine.

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Evolution of genes and genomes on the Drosophila phylogeny.

Andrew G. Clark, +429 more
- 08 Nov 2007 - 
TL;DR: These genome sequences augment the formidable genetic tools that have made Drosophila melanogaster a pre-eminent model for animal genetics, and will further catalyse fundamental research on mechanisms of development, cell biology, genetics, disease, neurobiology, behaviour, physiology and evolution.
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MUMmer4: A fast and versatile genome alignment system.

TL;DR: MUMmer4 is described, a substantially improved version of MUMmer that addresses genome size constraints by changing the 32-bit suffix tree data structure at the core of Mummer to a 48- bit suffix array, and that offers improved speed through parallel processing of input query sequences.
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Butterfly genome reveals promiscuous exchange of mimicry adaptations among species

Kanchon K. Dasmahapatra, +83 more
- 05 Jul 2012 - 
TL;DR: It is inferred that closely related Heliconius species exchange protective colour-pattern genes promiscuously, implying that hybridization has an important role in adaptive radiation.
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A whole-genome assembly of the domestic cow, Bos taurus

TL;DR: By using independent mapping data and conserved synteny between the cow and human genomes, this work was able to construct an assembly with excellent large-scale contiguity in which a large majority (approximately 91%) of the genome has been placed onto the 30 B. taurus chromosomes.
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The MaSuRCA genome assembler

TL;DR: A new hybrid approach that has the computational efficiency of de Bruijn graph methods and the flexibility of overlap-based assembly strategies, and which allows variable read lengths while tolerating a significant level of sequencing error is described.