MCB100147, Genome Informatics for Animals and Plants
| dc.contributor.author | Gilbert, Don | |
| dc.date.accessioned | 2019-01-10T14:35:53Z | |
| dc.date.available | 2019-01-10T14:35:53Z | |
| dc.date.issued | 2017-07 | |
| dc.description.abstract | Renewal of this XSEDE Genome Informatics for Animals and Plants project will facilitate the accurate discovery and reconstruction of animal and plant genes, in current and future genomics collaborations, including those by this author and those independently undertaken. Precision genomics is essential in medicine, environmental health, sustainable agriculture, and research in biological sciences. Yet the popular genome informatics methods lag behind the high levels of accuracy and completeness in gene construction that are attainable with today's accurate RNA-seq data. EvidentialGene is a genome informatics pipeline for gene construction that has a measurably high accuracy and completeness rate, for the range of animals and plants. This pipeline algorithm is simple and robust, compared to gene modeling pipelines, and often outperforms their gene reconstructions. | |
| dc.identifier.doi | https://doi.org/10.5967/RAGG-Q491 | |
| dc.identifier.uri | https://hdl.handle.net/2022/22627 | |
| dc.language.iso | en | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject | gene reconstruction | |
| dc.subject | animal and plant genes | |
| dc.subject | genomics for precision medicine | |
| dc.subject | environmental health | |
| dc.subject | sustainable agriculture | |
| dc.subject | big data | |
| dc.subject | bioinformatics pipeline | |
| dc.subject | high performance computing | |
| dc.subject | RNA-seq data | |
| dc.subject | transcriptome assembly | |
| dc.title | MCB100147, Genome Informatics for Animals and Plants | |
| dc.type | Technical Report |
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