id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
cord-334394-qgyzk7th	Edgar, Robert C.	Petabase-scale sequence alignment catalyses viral discovery	2020-08-10		.txt	text/plain	8134	423	51	To address the ongoing pandemic caused by Severe Acute Respiratory Syndrome Coronavirus 2 and expand the known sequence diversity of viruses, we aligned pangenomes for coronaviruses (CoV) and other viral families to 5.6 petabases of public sequencing data from 3.8 million biologically diverse samples. To expand the known repertoire of viruses and catalyse global virus discovery, in particular for Coronaviridae (CoV) family, we developed the Serratus cloud computing architecture for ultra-high throughput sequence alignment. We aligned 3,837,755 public RNA-seq, meta-genome, meta-virome and meta-transcriptome datasets (termed a sequencing run [5] ) against a collection of viral family pangenomes comprising all GenBank CoV records clustered at 99% identity plus all non-retroviral RefSeq records for vertebrate viruses (see Methods and Extended Table 1 ). We performed de novo assembly on 52,772 runs potentially containing CoV sequencing reads by combining 37,131 SRA accessions identified by the Serratus search with 18,584 identified by an ongoing cataloguing initiative of the SRA called STAT [5] .	./cache/cord-334394-qgyzk7th.txt	./txt/cord-334394-qgyzk7th.txt