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The discussions reflect excitement about the novel methods, with phrases like 'pushing the limits of data science' and 'catalyses viral discovery' demonstrating both admiration and recognition of transformative potential. The emphasis on collaboration and large-scale goals underscores a shared belief in the research’s significant contribution to the field.
Most discussions highlight enthusiasm for the publication's achievements, especially the potential of Serratus and petabase-scale sequence alignment to revolutionize viral discovery.
The posts show high interest, emphasizing the groundbreaking nature of the research and its ambitious goals, such as discovering 100 million RNA viruses.
Discussions include calling the work 'game-changing' and inviting collaboration, indicating a moderate level of deep engagement.
Many users express that this research could significantly influence pandemic preparedness and viral research, suggesting considerable impact.
Our 1' goal is to discover/characterize 100 million RNA viruses by 2030, pushing the limits of both data science and bioinformatics. Building off of https://t.co/dbylCKFOGT If you're a passionate scientist/engineer (postdoc/student/colleague), I'd love to work with you 2/3
Our Vision (
@baym this has been done, not as a joke: 15 co-equal authors https://t.co/0ir1GSfP63
RT @RNA_Life: Our 1' goal is to discover/characterize 100 million RNA viruses by 2030, pushing the limits of both data science and bioinfor…
RT @RNA_Life: Our 1' goal is to discover/characterize 100 million RNA viruses by 2030, pushing the limits of both data science and bioinfor…
@choldgraf Cloud is
Rayan Chikhi from Institut Pasteur discusses recent progress toward petabase-scale genomics. The talk highlights DNA sequencing technology advancements and the minimizer-space de Bruijn graphs algorithm, which enables…
We have lots of information at our fingertips so how do we make sense of it all especially in human health Conor and Dodi speak to two experts creating genetic and genomic databases to understand and predict health…
RT @RNA_Life: Our Vision (
RT @RNA_Life: Our Vision (
Our Vision (
@baym this has been done, not as a joke: 15 co-equal authors https://t.co/0ir1GSfP63
@choldgraf Cloud is
RT @RNA_Life: Our 1' goal is to discover/characterize 100 million RNA viruses by 2030, pushing the limits of both data science and bioinfor…
RT @RNA_Life: Our 1' goal is to discover/characterize 100 million RNA viruses by 2030, pushing the limits of both data science and bioinfor…
RT @RNA_Life: Our 1' goal is to discover/characterize 100 million RNA viruses by 2030, pushing the limits of both data science and bioinfor…
RT @RNA_Life: Our 1' goal is to discover/characterize 100 million RNA viruses by 2030, pushing the limits of both data science and bioinfor…
Our 1' goal is to discover/characterize 100 million RNA viruses by 2030, pushing the limits of both data science and bioinformatics. Building off of https://t.co/dbylCKFOGT If you're a passionate scientist/engineer (postdoc/student/colleague), I'd love to work with you 2/3
Petabase-scale sequence alignment catalyses viral discovery https://t.co/cG9BxhMdrJ
Petabase-scale sequence alignment catalyses viral discovery https://t.co/aRHGHzLmg6
Edgar, R.C., Taylor, J., Lin, V. et al. Petabase-scale sequence alignment catalyses viral discovery. Nature (2022). https://t.co/GuWxFDJOMy "a cloud computing infrastructure to enable ultra-high-throughput sequence alignment at the petabase scale" https://t.co/7KL7nsVlcW