Excited to see CaPES group results (short/ long-read WGS) - 5 year CPE spread across Singapore public hospitals (779 pts, 1215 isolates): https://t.co/TU594gXgZk Tks @kalisvar 4 extensive discussions. Also @eliowa @hsuliyang @10minus6cosm @NicStoesser @drdavideyre

Our latest work revealing translationally-relevant microbial proteins in #IBD led by @ycongzhang and @efranzosa in collaboration with @theGarrettLab, @TheXavierLab, @TakedaPharma & many others is out now in @Nature! https://t.co/XQSGWJqRfD (1/5)

Out now: Metagenomics-enabled microbial surveillance A Perspective arguing that high throughput methods can improve detection of known and yet-to-emerge pathogens. https://t.co/8mel7GH2oo

Thank you @SooJones for encouraging us to write this! It was an amazing learning experience working with @karriekkko @ReiChng ... haven't had so much fun writing an article for a while now.

The @metasub community played a large part in opening our eyes to the numerous possibilities! Very grateful to be part of this wonderful global collaborative effort.

Our perspective piece on how #metagenomics is transforming microbial surveillance! Thank you @NatureMicrobiol for the opportunity to write this. Too bad we are competing with THE human genome paper for eyeballs @aphillippy

Fruitful collaboration with @karriekkko! An interactive interface for local hospitals to rapidly characterize and inspect healthcare-associated SARS-CoV-2 transmission. And thanks for the helpful advice from @NiranjanTW. https://t.co/Ab8zSUolNb

Metagenomics has already started to impact microbial surveillance ... but there are more fundamental and ground-breaking changes to come! https://t.co/ozDhLLsN82

Imagine a technology that will let you see all microbes everywhere... well we already have it in the form of #metagenomics! Its time to push the frontiers and deploy it so that we aren't blind to our microbial world, its huge potential & occasional dangers https://t.co/ozDhLLsN82

"In order to automate the genome sequencing pipeline in our laboratory, we programmed a dual arm anthropomorphic robot.."

Urgent opening for a post-doc/senior post-doc in Bioinformatics for an exciting project involving diet, microbiome and health in the elderly. Email enquiries can be made in confidence to Prof. Paul O’Toole, Prof, APC Microbiome Ireland, Email: pwotoole@ucc.ie

Temporarily emerging from twitter hibernation to announce Mash v2.3. Includes a ~4x speedup for 'screen' function with Robin Hood hashing, and long-overdue acceptance of pull requests from @fbreitw @kloetzl @torstenseemann. Release:

Today was a good day. I have never been happier to wait in a line. If you’re eligible, join me and sign up to get your vaccine. Come with me if you want to live!

The pub describing our new program, inStrain, is out today in Nature Biotechnology https://t.co/ScyoMH9maz . We benchmark inStrain with several real datasets (see docs for overview https://t.co/DcLroII3Pj ) and use it to identify patterns of strain sharing between infants (1/5)

Real-Time, Direct Classification of Nanopore Signals with SquiggleNet https://t.co/dyfQ6yVGnT #biorxiv_bioinfo

Multi-task learning has been used to leverage cancer drug-response prediction for in vitro settings, but they are prone to negative transfer. What if we alleviate this behavior to bulk the predictions for in vivo settings? Check our preprint TUGDA! Feedback welcome ;-)

The BEEM-Static preprint is out! @li_chenhao @TamarAvShalom @ReiChng BEEM-Static: Accurate inference of ecological interactions from cross-sectional metagenomic data

A study in Nature uses a machine-learning approach to uncover confounding variables in studies that seek to establish an association between the gut microbiota and human disease. https://t.co/6VgDscGAx3

So excited to have this out in print! Congrats to the @ywan_wan lab for making the impossible possible ...