Mathematical, Statistical and Computational Aspects of the New Science of Metagenomics

Mathematical, Statistical and Computational Aspects of the New Science of Metagenomics

Metagenomics is the study of the total genomic content of microbial communities. In metagenomic studies, DNA material is sampled collectively from the microorganisms that populate the environment of interest (e.g. agricultural soil, ocean water, or the human gut). The extracted DNA sequences are subsequently used to profile the environment and its biodiversity, its dominant microbial classes or biological functions, and whether and how this profile differs from those of other environments. This research programme will bring together leading expertise in the multiple disciplines involved in metagenomics including mathematics, computer science, probability and statistics, biomedical research and biology. Read more at http://www.newton.ac.uk/programmes/MTG/

Inferring genotype-phenotype relationships from (meta-)genomes

McHardy, AC (Heinrich Heine University Düsseldorf) Thursday 27 March 2014, 09:30-10:30

06-02
54:03

Modelling macroecological patterns: Neutral theory and beyond

Recording stopped before end of talk due to unpublished work - Cornell, S (University of Liverpool) Tuesday 01 April 2014, 15:00-16:00

04-14
33:21

Why mixture modelling?

Holmes, S (Stanford University) Wednesday 02 April 2014, 15:00-16:30

04-10
01:28:00

Lessons learned from operating a big metagenomics resource

Meyer, F (Argonne National Laboratory, USA) Monday 24 March 2014, 11:30-12:30

04-02
58:23

Burrows-Wheeler Transform (BWT) based methods for assembly and haplotype analysis

Durbin, R (Welcome Trust Sanger Institute, Cambridge, UK) Tuesday 25 March 2014, 13:45-14:45

04-02
01:07:44

Reasonable names and reasonable terms for Bacteria and Archaea

Garrity, GM (Michigan State University and NamesforLife, LLC) Monday 24 March 2014, 13:45-14:45

04-02
56:58

Waste Not, Want Not: Why Rarefying Microbiome Data is not an optimal normalization procedure

Holmes, S (Stanford University) Friday 28 March 2014, 11:45-12:30

03-31
57:14

Microbiome, Metagenomics and High-dimensional Compositional Data Analysis

Li, H (University of Pennsylvania ) Friday 28 March 2014, 09:30-10:15

03-31
55:52

Linking taxa to function through contig clustering of microbial metagenomes

Quince, C (University of Glasgow) Friday 28 March 2014, 13:45-14:30

03-31
43:54

Application of Bayesian model averaging and population Monte Carlo to inference from metagenomic mixture

Morfopoulou, S (University College London) Friday 28 March 2014, 14:30-15:00

03-31
30:15

Statistical Machine Learning for Modeling Early Respiratory Microbiota Composition

Tsivtsivadze, E (TNO Research Institute) Friday 28 March 2014, 11:00-11:45

03-31
36:57

Digging into the soil metagenome

Hirsch, P (Rothamsted Research) Thursday 27 March 2014, 11:00-11:45

03-31
50:27

Inferring Mixed Viral Populations

Greenman, C (The Genome Analysis Centre) Thursday 27 March 2014, 16:00-16:30

03-31
32:04

Quikr: Rapid Bacterial Community Reconstruction Via Compressive Sensing

Koslicki, D (Oregon State University) Thursday 27 March 2014, 13:45-14:15

03-31
34:02

Webserver-supported storage of metagenomic datasets using MEGANv5

Ruscheweyh, H-J (University of Tuebingen) Thursday 27 March 2014, 14:45-15:15

03-31
21:59

Ecological genomics from metagenomic data?

Falush, D (Max Planck Institute for Evolutionary Anthropology, Leipzig) Wednesday 26 March 2014, 11:45-12:30

03-31
51:50

Understanding Biology from the Sequence Data of Uncultured Organisms

Rubin, E (Joint Genome Institute, Lawrence Berkeley National Laboratory) Wednesday 26 March 2014, 09:30-10:30

03-31
54:32

The living layer: the microbial interface between superior organisms and the environment as revealed by metagenomics

Mendes, R (Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)) Wednesday 26 March 2014, 15:45-16:30

03-31
44:25

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