Results
Machine learning methods were applied on sequenced fungal genomes to classify gene families. The … through the 1000 Fungal Genomes Project, including 55 newly-sequenced species. The Impact The class Dothideomycetes … in Mycology , 2020.) Using whole genome data from newly sequenced genomes, they also built a high-quality …
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Community Science Program; in 2018, a monoploid reference sequence of sugarcane was published as a step forward in …
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Nature Genetics, the work is part of a long-term project to sequence, annotate and analyze the genomes of more than 300 …
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… from natural Arabidopsis populations around Europe. The JGI sequenced and annotated 41 fungal isolates from the …
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… expressing a given BGC in various hosts, availability of sequenced genomes, and computing resources needed to predict BGCs from available genome sequences. The DOE Joint Genome Institute (JGI), a DOE …
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… messenger RNA", and that somewhere in the mess of genetic sequences lurks the next cool virus – if only our code would …
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… increased the number of known high quality virophage genome sequences 10-fold through computational approaches. By … they were able to identify 44,221 total virophage partial sequences, including over 28,000 unique MCP sequences. Further analysis led to the identification of …
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So, to be able to identify proteins, the team compiled DNA sequences (metagenomes) and messenger RNA sequences (transcriptomes) from their soil samples. This … because, unlike bacteria, they often carry interrupting sequences, called introns. Introns are like having extra …
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