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darlinglab.org

the Darling lab | computational (meta)genomics

The Darling lab at the University of Technology Sydney. We develop computational and molecular techniques to characterize the hidden world of microbes.

http://www.darlinglab.org/

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Aaron Darling

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Iow●●●ity , Iowa, 52245

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1.31●●●●7654
aa●●●●●●●●●●@ucdavis.edu

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the Darling lab | computational (meta)genomics | darlinglab.org Reviews
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The Darling lab at the University of Technology Sydney. We develop computational and molecular techniques to characterize the hidden world of microbes.
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1 blog
2 mauve
3 openings
4 people
5 projects
6 publications
7 reviews
8 software
9 tutorials
10 aarondarling@uts edu au
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blog,mauve,openings,people,projects,publications,reviews,software,tutorials,aarondarling@uts edu au,koadman
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the Darling lab | computational (meta)genomics | darlinglab.org Reviews

https://darlinglab.org

The Darling lab at the University of Technology Sydney. We develop computational and molecular techniques to characterize the hidden world of microbes.

INTERNAL PAGES

darlinglab.org darlinglab.org
1

Projects

http://www.darlinglab.org/projects

The Darling lab computational (meta)genomics. Our group has several ongoing projects. Bayesian phylogenomic inference using Monte Carlo methods, including Sequential Monte Carlo, MCMC, and approximate Bayesian computation. See the STS software. For examples of recent work in this area. Understanding the development of the infant gut microbiome, the relationship with maternal microbiota, and the development of atopy. In collaboration with a large team led by Prof. Shyamali Dharmage. On the Illumina MiSeq.

2

Software

http://www.darlinglab.org/software

The Darling lab computational (meta)genomics. Our group is currently involved in the following software development projects. Phylogenetic analysis of genomes and metagenomes. Andrew And Aaron’s Awesome Assembly Pipeline (miseq enabled). A5-miseq is an updated software pipeline for de novo assembly of microbial isolate genomes from Illumina HiSeq or MiSeq data. It automates all of the usual steps in genome assembly with an easy-to-use interface. The Sequential Tree Sampler. Darling lab members have contr...

3

NGS analysis tutorials

http://www.darlinglab.org/tutorials

Welcome to the tutorials. Genome assembly with SPAdes. Genome annotation with Prokka. Comparing genomes with Mauve. Using the NeCTAR cloud. Starting a NeCTAR instance. Welcome to the tutorials. This is a collection of next-gen sequence and (meta)genomic data analysis tutorials. Select a tutorial from the left-hand menu to get started. Provided by Read the Docs.

4

Mauve

http://www.darlinglab.org/mauve/mauve.html

The Darling lab computational (meta)genomics. Mauve is a system for constructing multiple genome alignments in the presence of large-scale evolutionary events such as rearrangement and inversion. Multiple genome alignments provide a basis for research into comparative genomics and the study of genome-wide evolutionary dynamics. The Darling lab computational (meta)genomics.

5

Openings

http://www.darlinglab.org/openings

The Darling lab computational (meta)genomics. We are always seeking people who are passionate about using computational and statistical methods to help unravel the forces of genome evolution. The Darling lab at UTS is located in the ithree institute, in close proximity with experts in microbiology, molecular biology, and mathematical statistics, creating a fertile cross-disciplinary environment. UTS Chancellor’s postdoctoral fellowships. The University provides a fellowship scheme.

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matsen.fredhutch.org matsen.fredhutch.org

Matsen Group: home

http://matsen.fredhutch.org/general/2014/03/23/mebcell.html}

Raquo; Incorporating new sequences into posterior distributions using SMC. The Bayesian approach is a beautiful means of statistical inference in general, and phylogenetic inference in particular. In addition to getting posterior distributions on trees and mutation model parameters, the Bayesian approach has been used to get posteriors on complex model parameters such as geographic location and ancestral population sizes of viruses, among other applications. The bummer about Bayesian computation? Softwar...

matsen.fredhutch.org matsen.fredhutch.org

Matsen Group: home

http://matsen.fredhutch.org/general/2014/05/13/sprmix.html}

Raquo; Incorporating new sequences into posterior distributions using SMC. The Bayesian approach is a beautiful means of statistical inference in general, and phylogenetic inference in particular. In addition to getting posterior distributions on trees and mutation model parameters, the Bayesian approach has been used to get posteriors on complex model parameters such as geographic location and ancestral population sizes of viruses, among other applications. The bummer about Bayesian computation? Softwar...

indigov.unsw.edu.au indigov.unsw.edu.au

Indigo V Expedition: Shore Team

http://indigov.unsw.edu.au/p/shore-team.html

The Shore Team is in charge of logistics and analyses back on land. Russell Neches - Doctoral Candidate, UC Davis. Dr Helder Marcal - H&S Officer, UNSW. Professor Ian Paulsen - Director of Macquarie Biomolecular Frontiers Centre, Macquarie University. Ian’s blog- http:/ mqgenomics.blogspot.com.au. Dr Aaron Darling - Associate Professor, University of Technology Sydney. Dr Brett Neilan - Scientia Professor, UNSW. 13 December 2016 at 17:00. Http:/ www.cakengift.in/blog/. Birthday Cake Delivery in Noida.

iseem2.wordpress.com iseem2.wordpress.com

People | iSEEM Phase 2: The Environmental Niche Atlas: Global Mapping of Microbial Functions

https://iseem2.wordpress.com/people

ISEEM Phase 2: The Environmental Niche Atlas: Global Mapping of Microbial Functions. Integrating Statistical Evolutionary, and Ecological Approaches to Metagenomics (iSEEM). ISEEM related references at citeUlike. Lab of Katherine Pollard. Lab of Jonathan Eisen. Post doc: Sarah Hird. Bioinformatics Engineer: Guillaume Jospin. PhD Student: Ladan Doroud. Project Scientist: Dongying Wu. Lab of Jonathan Eisen. Post doc: Morgan Langille. Now Asst. Prof. at Dalhausie University). PhD Student: Srijak Bhatnagar.

imperial.ac.uk imperial.ac.uk

Home - Dr Xavier Didelot

http://www.imperial.ac.uk/medicine/people/x.didelot

School of Public Health. 44 (0)20 7594 3622. St Mary's Campus. I am a lecturer in the Department of Infectious Disease Epidemiology. Within the School of Public Health. At Imperial College London. I am also a member of the MRC Centre for Outbreak Analysis and Modelling. And of the NIHR Health Protection Research Unit in Modelling Methodology. I have worked on a wide range of bacterial pathogens, especially those causing healthcare associated infections (eg. And gastrointestinal infections (eg. In 2010, I...

github.com github.com

koadman (Aaron Darling) · GitHub

https://github.com/koadman

University of Technology Sydney. Apr 12, 2010. Automated Phylogenomic Inference Pipeline. A docker container for benchmarking A5-miseq in nucleotid.es. Hi-C analysis of heterogeneous samples. Scripts to analyze data from the Oxford Nanopore MinION device. Analysis and scripts for evaluating 3C and HiC datasets. 70 contributions in the last year. Summary of pull requests, issues opened, and commits. Learn how we count contributions. Koadman has no activity during this period. To refresh your session.

cibm.wisc.edu cibm.wisc.edu

Computation and Informatics in Biology and Medicine - Alumni

http://www.cibm.wisc.edu/alumni

425 Henry Mall Rm 3445. Madison, WI 53706. 425 Henry Mall Rm 3420. Madison, WI 53706. Former CIBM postdoctoral trainee) will be starting an assistant professorship at the University of North Carolina, Chapel Hill, in the Department of Family Medicine and Program on Health and Clinical Informatics. 2016. Former CIBM predoctoral trainee) will start at Carnegie Mellon Univ. as an Assistant Professor of Health Informatics. 2015. Assistant Professor (starting Nov. 2016). CIBM Postdoctoral fellow, 2012-2015.

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the Darling lab | computational (meta)genomics

The Darling lab computational (meta)genomics. The Darling lab computational (meta)genomics. The Darling lab at the University of Technology Sydney. We develop computational and molecular techniques to characterize the hidden world of microbes.

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