@MACSYS3

Centre of Excellence in Mathematical Analysis of Cellular Systems

Joined April 2019
  • Tweets38
  • Following33
  • Followers27
MACSYS retweeted
Fei He@FeiHeUK19 Sep 2019
GpABC: a Julia package for parameter inference & model selection using i) simulation-based ABC/ABC-SMC, or ii) ABC with GP emulation. Excellent work from Evgeny, Jonathan, Tara, @lisi_roe, very pleased to co-supervise this group project with @theosysbio. biorxiv.org/content/10.1101/…

GpABC: a Julia package for approximate Bayesian computation with Gaussian process emulation

Approximate Bayesian computation (ABC) is an important framework within which to infer the structure and parameters of a systems biology model. It is especially suitable for biological systems with...

biorxiv.org
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Turing patterns are common but not robust: cell.com/cell-systems/fullte… with Natalie Scholes, @dschnoerr & Mark Isalan. We performed 10^11 stability analyses to find that many network motifs can produce Turing patterns. First paper from our @VolkswagenSt Life? project

A Comprehensive Network Atlas Reveals That Turing Patterns Are Common but Not Robust

Turing patterns are stable spatial patterns resulting from the interplay of chemical reactions and molecular diffusion and underlie many developmental processes. Here, we perform an exhaustive...

cell.com
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Funding scientific research should be a top priority for Australia theage.com.au/national/victo…

Funding scientific research should be a top priority for Australia

Excellent research takes many years to develop, prove, have peer-reviewed and ultimately be honoured. Rarely are there sudden advances in science.

theage.com.au
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Special MIG Seminar – James Briscoe – Monday 16th September, 2019 The Dynamics of Spinal Cord Development research.unimelb.edu.au/inte…
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Mathematical models incorporating a multi-stage cell cycle replicate normally-hidden inherent synchronization in cell proliferation | Journal of The Royal Society Interface royalsocietypublishing.org/d…

Mathematical models incorporating a multi-stage cell cycle replicate normally-hidden inherent...

Abstract. We present a suite of experimental data showing that cell proliferation assays, prepared using standard methods thought to produce asynchronous c

royalsocietypublishing.org
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Welcome @ljcoin, we at @MelbIntGen look forward to working more closely with you now that you are @unimelb
Lachlan Coin@lachlanjmc7 Aug 2019
Very excited to be starting @TheDohertyInst and @UMCCR. Also thrilled to meet @ProfPCDoherty himself!
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That’s lovely: excellent #synbio based on sound mathematical modelling. Can’t have the former without the latter biorxiv.org/content/10.1101/…
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#synbio also has lots to offer to tackle the #climatecrisis. But we need better in silico design approaches to make innovation scalable and cannot rely on trial and error.
Guardian Australia@GuardianAus14 Jul 2019
The five: genetic fixes for the climate crisis theguardian.com/technology/2…

The five: genetic fixes for the climate crisis

Scientists are discovering innovative ways to help the natural world adapt to environmental change

theguardian.com
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Four more days to apply for our PhD positions.
Michael P.H. Stumpf@theosysbio19 Jun 2019
Want to do a PhD in computational cell/systems/synthetic biology? Join @heejungshim, @karinv, @EdmundCrampin and me at @SciMelb @engunimelb @MelbIntGen and learn how to model whole cells as part of a multidisciplinary & supportive research team. Please RT
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This is superb&shows that there can be no good #syntheticbiology without good engineering&math modelling (everything else just tinkering, poking around in the dark): Hard Limits and Performance Tradeoffs in a Class of Antithetic Integral Feedback Networks cell.com/cell-systems/fullte…

Hard Limits and Performance Tradeoffs in a Class of Antithetic Integral Feedback Networks

While feedback regulation is pervasive at every level of biology, it has proven difficult to design synthetic biomolecular feedback systems that match the performance found in nature. The recently...

cell.com
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We are looking for a bright post-doc to join the ARC Training Centre transforming maintenance through data science. The one, specifically focussed on Natural Language Processing. Prospective staff : Jobs at UWA : The University of Western Australia external.jobs.uwa.edu.au/cw/…
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Next Tuesday I’ll be giving the special lecture at the @DiscoverAMSI Winter School at @QUT: Large Scale Robustness Analysis And The Elusive Ubiquity Of Turing Pattern. Check ws.amsi.org.au/special-lectu… for details. Very much looking forward to meeting friends and colleagues.
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Bring back the innovation agenda. – at Melbourne, Victoria
Kim Carr@SenKimCarr22 Jun 2019
The Liberals’ cuts to science have created Australia’s largest brain drain, depriving Australia of the talent it needs.The government’s hostility to science derives from the hard-right ideologues in its ranks, who will not be happy until EIF is gone. smh.com.au/politics/federal/…

Stoush brewing over $3.9b education infrastructure fund

The government will resume a long fight to divert the cash into new programs including natural disaster assistance.

smh.com.au
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Why I like the new (@mikemorrison) poster format (a shortish thread): Disclaimer: I see the value of posters but usually don’t enjoy most poster sessions (eg MASAMB consistently good but an exception imho) 1/7
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This is excellent.
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Want to do a PhD in Computational Cell / Systems / Synthetic Biology? systemsbiologylaboratory.org…
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Want to do a PhD in computational cell/systems/synthetic biology? Join @heejungshim, @karinv, @EdmundCrampin and me at @SciMelb @engunimelb @MelbIntGen and learn how to model whole cells as part of a multidisciplinary & supportive research team. Please RT
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Our latest paper: Rodrigues, Nott & Sisson (2019) Likelihood-free approximate Gibbs sampling arxiv.org/abs/1906.04347 Using regression models to approximate intractable full conditional distributions within a Gibbs sampler, to fit a 13,140 parameter model!

Likelihood-free approximate Gibbs sampling

Likelihood-free methods such as approximate Bayesian computation (ABC) have extended the reach of statistical inference to problems with computationally intractable likelihoods. Such approaches...

arxiv.org
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Sydney Brenner referring to omics/multi-omics without mechanistic models as “low input, high throughout, no output” is deliciously malicious genius.
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Rowan Brackston talking about his and Lucy Ham’s work on capturing extrinsic noise in gene regulation #AMSCG19 See preprint biorxiv.org/content/10.1101/… for details.
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