• Skip to primary navigation
  • Skip to main content
  • Skip to primary navigation
  • Skip to main content
Choose which site to search.
University of Arkansas for Medical Sciences Logo University of Arkansas for Medical Sciences
College of Medicine: Department of Biomedical Informatics
  • UAMS Health
  • Jobs
  • Giving
  • About Us
    • Employment
    • Access, Opportunity, and Advocacy
      • About DBMI-AOA
      • Current DBMI-AOA Committee Members
      • DBMI-AOA Resources
      • DBMI-AOA Committee Events
    • Links
    • News
    • Department Intranet
  • Faculty & Staff
    • Primary Faculty
    • Secondary Faculty
    • Adjunct Faculty
    • Staff
  • Education
    • Admission Information
    • Clinical Informatics Fellowship
      • Fellowship Overview
      • Training Sites
      • Faculty
      • Current Fellows
      • Welcome to Little Rock!
    • Graduate Programs
    • Current Course Offerings
    • DBMI FAQs
    • Research & Application Seminar
    • Recorded Sessions for CME Credit
    • Student Funding Opportunities
    • Graduate Students
  • Cores and Shared Resources
    • Arkansas Clinical Data Repository (AR-CDR)
    • Bioinformatics Collaborative Resource Center
    • INBRE
      • INBRE Bioinformatics Core Support Request Form
  • Research
    • Databases
    • Research Labs
      • Biomedical Ontologies Arkansas (BOAR)
    • Publications
  • Artificial Intelligence for Health
  1. University of Arkansas for Medical Sciences
  2. College of Medicine
  3. Department of Biomedical Informatics
  4. Genome

Genome

Genome Characterization of Oleaginous Aspergillus oryzae BCC7051: A Potential Fungal-Based Platform for Lipid Production

Curr Microbiol. 2018 Jan;75(1):57-70. doi: 10.1007/s00284-017-1350-7. Epub 2017 Sep 1. Thammarongtham C, Nookaew I, Vorapreeda T, Srisuk T, Land ML, Jeennor S, Laoteng K Abstract The selected robust fungus, Aspergillus oryzae strain BCC7051 is of interest for biotechnological production of lipid-derived products due to its capability to accumulate high amount of intracellular lipids using various […]

Filed Under: Department News, Publications Tagged With: Aspergillus oryzae, Genome, Intawat Nookaew, Lipid Production

Evaluation and assessment of read-mapping by multiple next-generation sequencing aligners based on genome-wide characteristics

https://doi.org/10.1016/j.ygeno.2017.03.001 Subazini Thankaswamy-Kosalai, Partho Sen, Intawat Nookaew Abstract Massive data produced due to the advent of next-generation sequencing (NGS) technology is widely used for biological researches and medical diagnosis. The crucial step in NGS analysis is read alignment or mapping which is computationally intensive and complex. The mapping bias tends to affect the downstream analysis, […]

Filed Under: Publications Tagged With: Algorithm, Aligners, Alignments, Genome, Intawat Nookaew, Mapping, Next-generation sequencing, NGS, Partho Sen, Reads, Subazini Thankaswamy-Kosalai

UAMS College of Medicine LogoUAMS College of MedicineUniversity of Arkansas for Medical Sciences
Mailing Address: 4301 West Markham Street, Little Rock, AR 72205
Phone: (501) 686-7000
  • Facebook
  • X
  • Instagram
  • YouTube
  • LinkedIn
  • Pinterest
  • Disclaimer
  • Terms of Use
  • Privacy Statement

© 2025 University of Arkansas for Medical Sciences