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Juan S. Andrade-Martínez

Researcher at University of Los Andes

Publications -  6
Citations -  47

Juan S. Andrade-Martínez is an academic researcher from University of Los Andes. The author has contributed to research in topics: Biology & Shotgun sequencing. The author has an hindex of 3, co-authored 5 publications receiving 19 citations.

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Analysis of Malassezia Lipidome Disclosed Differences Among the Species and Reveals Presence of Unusual Yeast Lipids

TL;DR: This study investigates the lipid composition of Malassezia strains grown to the stationary phase in a complex Dixon medium broth and performs a lipidomic analysis of a subset of species, which could confirm the presence and the absence of certain lipid-biosynthesis genes in specific species.
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NCBI's Virus Discovery Hackathon: Engaging Research Communities to Identify Cloud Infrastructure Requirements.

TL;DR: The work yielded valuable insights into both SRA data and the cloud infrastructure required to support such efforts, revealing analysis bottlenecks and possible workarounds thereof.
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Defining a Core Genome for the Herpesvirales and Exploring their Evolutionary Relationship with the Caudovirales.

TL;DR: Results supporting the hypothesis that the two orders of the Herpesvirales and Caudovirales are evolutionarily related are provided and this work contributes to the understanding of the history of the herpesvirale.
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Comparing novel shotgun DNA sequencing and state-of-the-art proteomics approaches for authentication of fish species in mixed samples

TL;DR: A novel high-throughput shotgun DNA sequencing approach applying masked reference libraries was developed and used for authentication and abundance calculations of fish species in mixed samples and demonstrated that both DNA and protein-based approaches can be used to efficiently tackle current challenges in feed and food authentication analyses.
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Accurate, Efficient and User-Friendly Mutation Calling and Sample Identification for TILLING Experiments

TL;DR: The Next Generation Sequencing Experience Platform (NGSEP) as mentioned in this paper is an open source solution for analysis of pooled high throughput sequencing (HTS) data that allows efficient identification and sample assignment of variants within genes of interest in hundreds of individuals.