Fastlink to record 336584
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| Full TGIF Record # 336584 Item 1 of 1 |
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| 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: | 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 |
| Keywords: | TIC Keywords: Cultivar identification; Elements; Genetic analysis; Genetic engineering; Genetic markers; Genetic transformation; Genomics; Molecular markers; Structural genomics; Technology; Transcriptome analysis |
| 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: | http://tic.lib.msu.edu/tgif/flink/RECNO/336584 |
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| 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 |
| MSU catalog number: | b3609415 |
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