Biology
Permanent link for this communityhttps://hdl.handle.net/2022/7910
Browse
Browsing Biology by Subject "animal and plant genes"
Now showing 1 - 2 of 2
- Results Per Page
- Sort Options
Item MCB100147, Genome Informatics for Animals and Plants(2016-04) Gilbert, DonRenewal 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 biological research. Yet popular genome informatics methods lag behind the high levels of accuracy and completeness in gene construction that are attainable with current RNA-seq data. EvidentialGene is a genome informatics pipeline for gene construction that has a measurably high accuracy and completeness rate, for insects, ticks and crustaceans to crop plants and trees, to fishes and other vertebrates. It uses big data from gene sequencers, generating bigger gene sets than alternate methods, then efficiently reduces those into accurate species gene sets using biological criteria of protein codes and orthology.Item MCB100147, Genome Informatics for Animals and Plants(2017-07) Gilbert, DonRenewal 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.