Danielle Stretch

Name:	Danielle Stretch
Affiliation:	CCBI, Centre for Mathematical Sciences, University of Cambridge
E-mail:	(only provided to users who are logged into talks.cam)
Last login:	5 Nov 2013, 3:54 p.m.

Public lists managed by Danielle Stretch

• All CMS Events
• Cambridge Next Generation Sequencing Bioinformatics Day II
• One Day Meeting - 6th Annual Symposium of the Cambridge Computational Biology Institute
• One Day Meeting: Fourth Annual Symposium of the Cambridge Computational Biology Institute
• One Day Meeting - Seventh Annual Symposium of the Cambridge Computational Biology Institute
• One Day Meeting - Third Annual Symposium of the Cambridge Computational Biology Institute

Talks given by Danielle Stretch

Obviously this only lists talks that are listed through talks.cam. Furthermore, this facility only works if the speaker's e-mail was specified in a talk. Most talks have not done this.

Talks organised by Danielle Stretch

This list is based on what was entered into the 'organiser' field in a talk. It may not mean that Danielle Stretch actually organised the talk, they may have been responsible only for entering the talk into the talks.cam system.

• Physical constraints can encode bacterial promoter regulatory logic
• The Ninth Annual Symposium of the Cambridge Computational Biology Institute
• Computational analyses of high-throughput spatial proteomics data
• Genome sequencing of transmissible cancers in dogs and Tasmanian devils
• Machine learning approaches to predicting protein-ligand binding
• Methodological Challenges in the Pursuit of the Tree of Life
• Genome-wide approaches to study alternative splicing using RNA-seq data
• MPhil in Computational Biology Open Afternoon
• Ecological niche modeling and infectious disease
• Integration of functional genomics and pathway information to elucidate deregulation of signal transduction and drugs' mode of action
• Evolution of post-translational networks
• Eighth Annual Symposium of the Cambridge Computational Biology Institute
• Genome-Based Drug Discovery and Re-Purposing: a new golden age for DNA microarrays?
• Multi-scale studies on Drosophila transcription factors
• Title to be confirmed
• tba
• Approximate Bayesian Computation for evolution in a test tube
• tba
• From batch effects and randomness to personalised stratified medicine
• CCBI Annual Symposium
• Persistence and control of bTB in Great Britain
• Open Afternoon for MPhil in Computational Biology
• Mathematical models of signaling networks and their application to disease
• Modelling epidemics: mixing patterns, changing behaviour, and swine flu
• Decoding Genetic Switches in T Helper Cell Differentiation
• Executable Strategies for Cellular Decision Making
• Why is Genomics so unfashionable in Drug Discovery?
• Why is genomics now unfashionable in drug discovery?
• Characterization of 1000 breast cancer genomes and transcriptomes
• "Bioinformatics in the Pharmaceutical Industry"
• Title to be confirmed
• Open Afternoon for MPhil in Computational Biology
• Linked Oscillators in Circadian Biology
• Open Afternoon for MPhil in Computational Biology
• Better multiple sequence alignment by being phylogeny-aware, and better base calling from next-generation sequencers
• Pathogen Genome Sequencing at the Sanger Institute
• "Studying human variation from whole genome sequence data".
• " The dynamics of parasite-mediated competition"
• Title to be confirmed
• Type 1 Diabetes research, before and after association studies
• Simultaneous Determination of Protein Structure and Dynamics
• MPhil in Computational Biology - Student Project Presentations
• MPhil in Computational Biology - Student Project Presentations
• Genomic Regulatory Network Models for Developing Blood Stem Cells
• Mapping quantitative traits in mice and plants
• Biological learning and memory from a theoretical perspective
• Determinants of tissue-specific transcriptional regulation in a transplanted chromosome
• Evolution of protein complexes and protein interaction networks
• Quantum Mechanical Simulations of Biochemistry
• Collective Hydrodynamics of Swimming Micro-Organisms
• tba
• tba
• A comparison of background correction methods for two-colour microarrays
• tba
• tba
• Computational methods to analyse large-scale and high-dimensional gene perturbation screens
• A Programming Language for Biology
• Open Afternoon for MPhil in Computational Biology
• tba
• tba
• Title to be confirmed
• Complex relationships: modelling epidemics on human social networks
• Approximate Bayesian Computation and the fossil record
• Title to be confirmed
• Some questions that can be answered by molecular dynamics
• Some questions that can be answered by molecular dynamics
• Toxicogenomics - helping reshape drug discovery (?)
• A human protein atlas
• The biology of common disease from a genome-wide perspective: susceptibility genes as nodes for pathways and systems
• Genome regulation: a sequence-gazer's view.
• Learning from the worm: predicting phenotype from genotype
• Lies, damn lies and metabolomics - statistical approaches for processing metabolomic data.
• Oscillators and sychronisation in circadian rhythms
• Epidemics on Networks
• Automated image analysis for high-throughput cell-based microscopy assays with R and Bioconductor
• Open Afternoon for MPhil in Computational Biology
• Modelling Epidemics
• Monkeys on Trees: A Bayesian Approach to Inferring Primate Divergence Times
• Identifying novel therapies for breast cancer using Independent Component Analysis
• "Identifying deletions and duplications from PCR data"
• Protein structure determination using NMR chemical shifts
• Machine Learning Methods for Uncovering cis-Regulatory Modules
• Genome Informatics at the Sanger Institute
• Microarrays and molecular biology: beyond gene expression profiling
• Cell signalling and oscillations
• Linear Separability of Gene Expression Dataset
• DESCRIBING DRUG TOXICITY USING FUNCTIONAL DATA ANALYSIS AND THE MODEL-DRIVEN CLUSTERING OF GENE EXPRESSION BIOMARKERS. (HOW TO TURN YOUR MPHIL INTO A PAYCHEQUE)
• Describing drug toxicity using functional data analysis and the model-driven clustering of gene-expression bio-markers