Abstract Detail
Systematics Schoch, Conrad L. [1], Barbara, Robbertse [1]. Remember my (fungal) name: Tying names to sequences and specimen data in GenBank. Breaking bad habits during sequence submission to public databases can greatly enhance sequence accuracy. We focus on improving the traceability of specimen and culture collection data by discussing ways to standardize unique identifiers. As part of an effort to improve veracity of sequence information and update taxonomic identification we also report on the efforts to release more than 2,500 accessions in a separate curated database, RefSeq Targeted Loci. These were selected from the public records and re-annotated and verification with the help of a large group taxonomic experts. Additional ways to highlight type material, improve links to other databases and utilize the BLAST interface will be discussed. Protocols will be proposed in order to improve the data quality of new sequences as well as ways to use type and other reference sequences. As part of the International Nucleotide Sequence Database Collaboration (INSDC) GenBank fulfils a dual role, acting as archive as well as database. We aim to present ways to enhance and improve fungal identification, despite these constraints. Log in to add this item to your schedule
Related Links: Fungal Internal Transcribed Spacer RNA (ITS) RefSeq Targeted Loci Project
1 - National Library of Medicine, NCBI, 45 Center Drive, MSC 6510, Bethesda, Maryland, 20892, USA
Keywords: Taxonomy DNA sequence analysis databases.
Presentation Type: Offered Paper - Paper Session: 10 Location: Auditorium/Kellogg Hotel and Conference Center Date: Tuesday, June 10th, 2014 Time: 10:45 AM Number: 10002 Abstract ID:139 Candidate for Awards:None |