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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 …

Community Science Program; in 2018, a monoploid reference sequence of sugarcane was published as a step forward in …

Nature Genetics, the work is part of a long-term project to sequence, annotate and analyze the genomes of more than 300 …

… than previously suspected. “That would cause significant consequences on the entire food web, and therefore ecosystem … After isolating the algal communities on filters, they sequenced DNA ‘marker’ gene sequences to identify the microbes. And in order to …

… 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 …

… messenger RNA", and that somewhere in the mess of genetic sequences lurks the next cool virus – if only our code would …

… 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 …

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 …

… the most efficient at making proteins likely factors into why fungi have been so evolutionary and ecologically … applications, Wint also developed and tested a gene sequence-based predictor of gene expression levels using …