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About the classic papers club

The aim of this club is to read the papers that everyone keeps citing but which few people have read. We plan to read a paper every third week for the next 20 years.

We tend to meet Wednesday mornings, and tend to announce the papers we will read ahead of time. Everyone is welcome: if a paper sounds interesting to you, please come by.

This reading group used to be organised on facebook. The old page can be found here.

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About the Science Book Club

This book club has been going on for ages and we have gone through many works. We read a a brisk pace and aim to meet each morning before work and discuss for 90 minutes covering 10-20 pages and then we read next segment in the evening during Oxford Term (http://www.ox.ac.uk/about/facts-and-figures/dates-of-term).
It is clearly very demanding, but we do cover a lot. At the end of the term making a lecture trying to summarise the book (like http://tinyurl.com/RECOMBINATORICS). We sometimes also submit a review of the book. Past books we have read include:

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About the Humanities Book Club

This book club is an endeavour to broaden our horizons and critically engage with good writing from across the humanities. We intend to go through a book per term, and tend to meet roughly once every 3rd week to discuss new sections of whatever book we are currently going through. Past books that we have read include:

  • The General Theory of Employment, Interest and Money, by John Maynard Keynes
  • The Qurʼān – A New Annoteted Translation, by Arthur J. Droge
  • On Politics, by Alan Ryan
  • Capital in the Twenty-First Century, by Thomas Piketty

The size of the reading group is capped at 6 persons. Current members include Jotun Hein, Mathias Cronjäger, James Anderson (former DPhil student), and Eddie Rolls (former summer school student).

THE GREAT GOLDEN

He will talk on an correlation model for RNA evolution 3.30PM in the lower floor of Department of Statistics. The slides can be seen here: https://goo.gl/e6r4gx I spoke a week ago on the work I did in Israel: https://tinyurl.com/longisrael

CSML talk: Probabilistic Inference of Nucleotide Coevolution

Michael Golden will be presenting “Probabilistic Inference of Nucleotide Coevolution” at the Computational Statistics and Machine Learning seminar today at 15:30 in the Department of Statistics. His slides are available here.

Abstract 

Pairs of nucleotide positions within biologically functional nucleic acid secondary structures often exhibit evidence of coevolution that is consistent with base-pairing. PICNIC is a probabilistic sequence evolution model that assesses rates of mutation at base-paired sites in alignments of DNA or RNA sequences. PICNIC is able to fully account for an unknown secondary structure, and in doing so can be used to predict a secondary structure shared amongst an alignment of sequences. PICNIC was used to infer rates of coevolution associated with GC, AU (AT in DNA), and GU (GT in DNA) dinucleotides in non-coding RNA alignments, and single-stranded RNA and DNA virus alignments. Strong evidence was found for GU dinucleotides being selectively favoured at base-paired sites in non-coding RNA and RNA virus alignments, with marginal evidence for GT dinucleotides being selectively favoured at base-paired sites in DNA virus alignments. The strength of coevolution at base-paired sites in a SHAPE-MaP-determined HIV-1 NL4-3 RNA secondary structure and a corresponding alignment containing large numbers of HIV group 1M sequences was also measured, finding that the PICNIC-inferred degrees of coevolution were more strongly correlated with experimentally-determined SHAPE-MaP pairing scores than degrees of coevolution measured using three mutual information methods that do not take into account phylogenetic dependencies.

Four Topics in Computational Biology

I will be giving a course with these lecture in TH18 at a advanced undergraduate course at the Department of Statistics

1 Enumeration in Phylogenetics
2. Tree Generating Processes
3. Compatibility
4. Statistical Alignment

5 Physics of Molecules: QM and MM
6 Integrators and Approximations
7 Applications I: Reactions
8 Applications II: Protein Folding

9 Small Molecules
10 Polya Enumeration
11 Graph Grammars and Reaction Prediction
12 3D Prediction from Graphs

13 Modeling the Evolution of Complex Objects: Languages, Patterns, Movements
14 The Comparative Method
15 Example I: Proteins
16 Example II: Networks

They will appear on this page as I finish them:

https://heingroupoxford.com/learning-resources/lectures/

Skype Book Discussion Group in “Computational Complexity of Sampling”

The present version can be found here:

http://renyi.hu/~miklosi/CCC/ComputationalComplexityOfCountingAndSampling.pdf

The author – Istvan Miklos – believes he will always be ahead of the readers in writing. We would then write a review that would be published about the same time as the book was published and we put an extended report on this page:

https://heingroupoxford.com/learning-resources/lectures/

We also give a summarizing lecture when we have finished the book. Earlier when we did this, we met every 2nd day doing about 20 pages each time, but it can depend on the individual book. We did a similar thing to Mike Steels 2016-book, which I believe was beneficial to both authors and readers.

The ideal number of participants in such a group is 3-5. It would have to be online since I will be Israel. I like to choose a time that is either starting or ending of working day so it interpheres minimally with work. If you know somebody interested in participating in this, please tell me. If it proves a crappy book, we will stop reading, but that is not what I expect.

What did we learn at: Origins of Life Conference – ISSOL17

What did we learn at: Origins of Life Conference – ISSOL17

  • written by Jotun Hein

Overall attending the conference was a very useful since I haven’t been to an Origins Conference for more than 5 years and since I have stopped teaching Origins, in general, I don’t read so much on the chemical nitty-gritty.

The was much interesting material at the conference and of course, I met some people from Oxford, that I had never seen before working on catalysis.
The first day [Monday] was mainly devoted to Exoplanets and Meteorites/Comets/Transport of Organic Matter.
The second day [Tuesday] was the physical condition on earth 4 Billion or so years ago.
The third 1/2 day [Wednesday] was dedicated to the first chemical steps towards life.
The last 2 days were on the early evolution of life and more theoretical models.

Origins of Life studies are clearly getting a lot more attention/funding now. Computational studies play a much larger role. There are much more serious attempts at synthesizing life de Novo. But I can’t say there is a single convincing scenario for planet Earth. Exoplanets clearly are very exciting, but there is no way to study the architecture of life so far away [barring SETI – that was unrepresented at ISSOL] so all one can hope for a couple of centuries is observation of convincing bio-signatures.

There seemed to have been a lot of organizational problems. I didn’t know where to go and sleep and ended up sitting all night in the airport (while paying for a room at UCSD). Another person I met had experienced something else. The conference dinner was not very different from the free dinner and there were no arrangements of where to go. Anybody going to conferences/workshops knows that many connections are made at the evening socializing.

I, William Kurdahl and possibly some from the Oxford Catalysis will give an informal orientation about the meeting Tuesday, August 29th 3 PM in the small lecture room in The Department of Statistics, Oxford.
William and I both chose 5 papers/presentations that we liked.

These are the slides in progress:
https://www.dropbox.com/s/p5tmy3a1g8i2kd0/ISSOL.pptx?dl=0

Jotun gave 2 talks [31.5 1.6]

Combinatorics of Recombination:  https://www.dropbox.com/s/magvyy1jkkgin63/graduate%20lecture%201.6.17%20recombi.pptx?dl=0

Research Collaboration: https://www.dropbox.com/s/gveaj5rwp0f7eok/A%20Few%20Things.pptx?dl=0

2 Distinguished Speakers: Wim Hordijk and Dave Swofford

 

Topics – both devoted to modelling in evolution: Models of Origins of Life & Phylogenetic 

Time:  Friday June 9th  2.00 PM – 4.30 PM

Venue:  Department of Statistics, Oxford, Large Lecture Theatre 

  1. 2.00 PM Generality and Robustness of the SVDQuartets Method for Phylogenetic Species Tree Estimation (Swofford)

 

Methods for inferring evolutionary trees based on phylogenetic invariants were first proposed nearly three decades ago, but have been virtually ignored by biologists.   A new invariants-based method for estimating species trees under the multispecies coalescent model was recently developed by Julia Chifman and Laura Kubatko, building on earlier work by Elizabeth Allman, John Rhodes, and Nicholas Eriksson.  This method comes from algebraic statistics and uses singular value decomposition to estimate the rank of matrices of site pattern frequencies.  Although the approach shows great promise, its performance on empirical and simulated data sets has not been adequately evaluated.

I will give a general introduction to the SVDQuartets method and present some results from a simulation study currently in progress (collaboration with Laura Kubatko and Colby Long) that demonstrate that SVDQuartets is potentially highly robust to deviations from the standard evolutionary models assumed by other species-tree estimation methods.

BREAK

  1. 3.30PM Autocatalytic Sets and the Origin of Life (Hordijk)

The main paradigm in origin of life research is that of an RNA world, where the idea is that life started with one or a few self-replicating RNA molecules. However, so far nobody has been able to show that RNA can catalyze its own template-directed replication. What has been shown experimentally, though, is that certain sets of RNA molecules can mutually catalyze each other’s formation from shorter RNA fragments. In other words, rather than having each RNA molecule replicate itself, they all help each other’s formation from basic building blocks, in a self-sustaining network of molecular cooperation.

Such a cooperative molecular network is an instance of an autocatalytic set, a concept that was formalized and studied mathematically and computationally as RAF theory.This theory has shown that autocatalytic sets are highly likely to exist in simple polymer models of chemical reaction networks, and that such sets can, in principle, be evolvable due to their hierarchical structure of many autocatalytic subsets. Furthermore, the framework has been applied succesfully to study real chemical and biological examples of autocatalytic sets.

In this talk I will give a general (and gentle) introduction to RAF theory, present its main results and how they could be relevant to the origin of life, and argue that the framework could possibly also be useful beyond chemistry, such as in analyzing ecosystems or even economic systems.

Screenshot 2017-06-02 17.59.00WINE IN COMMON AREA AFTER TALKS