Documents

DOI

  • Leho Tedersoo
  • Kelly Ramirez
  • R Nilsson
  • Aivi Kaljuvee
  • Urmas Koljalg
  • Kessy Abarenkov
High-throughput sequencing-based metabarcoding studies produce vast amounts of ecological data, but a lack of consensus on standardization of metadata and how to refer to the species recovered severely hampers reanalysis and comparisons among studies. Here we propose an automated workflow covering data submission, compression, storage and public access to allow easy data retrieval and inter-study communication. Such standardized and readily accessible datasets facilitate data management, taxonomic comparisons and compilation of global metastudies.
Original languageEnglish
Pages (from-to)34
Number of pages1
JournalGigaScience
Volume4
Issue number1
DOI
Publication statusPublished - 2015

    Research areas

  • international

ID: 1744676