Full TGIF Record # 336584
Item 1 of 1
Web URL(s):https://archive.lib.msu.edu/tic/ressum/2023/2023.pdf#page=76
    Last checked: 05/09/2024
    Requires: PDF Reader
    Notes: Item is within a single large file
Publication Type:
i
Report
Author(s):Amundsen, Keenan
Author Affiliation:University of Nebraska-Lincoln
Title:New discoveries and methods for complex data analysis
Section:Genetics and breeding
Other records with the "Genetics and breeding" Section

Warm-season grasses
Other records with the "Warm-season grasses" Section
Source:Mike Davis Program for Advancing Golf Course Management: 2023 Progress Reports. 2023, p. 68-70.
Publishing Information:Liberty Corner, New Jersey: The United States Golf Association Green Section
# of Pages:3
Language:English
References:0
See Also:Other Reports from this USGA research project: 2023-11-778
Note:Tables
USGA Summary Points:DNA sequencing technologies are readily available to study turfgrass genomes, but tools for analyzing the complex data are still needed. GeneCNN was developed for gene prediction in complex sequenced genomes. GeneCNN successfully predicted 3,015 coding sequences within a 10 million nucleotide buffalograss genome fragment GeneCNN performed as well as conventional gene prediction tools
ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Amundsen, K. 2023. New discoveries and methods for complex data analysis. USGA Turfgrass Environ. Res. Summ. p. 68-70.
Fastlink to access this record outside TGIF: https://tic.lib.msu.edu/tgif/flink?recno=336584
If there are problems with this record, send us feedback about record 336584.
Choices for finding the above item:
Web URL(s):
https://archive.lib.msu.edu/tic/ressum/2023/2023.pdf#page=76
    Last checked: 05/09/2024
    Requires: PDF Reader
    Notes: Item is within a single large file
Find Item @ MSU
MSU catalog number: b3609415
Request through your local library's inter-library loan service (bring or send a copy of this TGIF record)