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Slides and Posters
News
May 1
Our paper Reliable detection of subclonal
single-nucleotide variants in tumor cell populations appeared in Nature Communications today (see also ETH Life). In this work, we present the deepSNV algorithm and demonstrate its capability to detect subclonal mutations present in only 1/10,000 cells.
Gerstung et al. (2012) Nat Commun 3:811. DOI: 10.1038/ncomms1814.
Slides
- Michael Brudno Discovering INDEL and Copy Number Genomic Variation from Paired-end Sequencing
- Irina Ostrovnaya Statistical Challenges in Testing Clonal Relatedness of Tumors Using their Genomic Profiles
- Volker Roth HIV Haplotype Inference using a Constraint-based Dirichlet Process Mixture Model
- Wolfgang Huber Applications to Transcriptomics – Characterisation and Functions of Non-coding RNAs
- Ingo Ruczinski Some Study Designs to Improve Statistical Power in Association Tests for Rare Variants
- Iuliana Ionita-Laza A Unified Framework for the Statistical Analysis of Rare Variant Sequence Data, with Applications to Autism and Study Design
- Mark Robinson Integrative Analyses of Epigenome Sequencing Data
- Erik Van Zwet The Effect of Prenatal Famine Exposure on DNA Methylation
- Edoardo Missiaglia Measuring MicroRNA Expression by NGS
Posters
- Diego Colombo Predicting causal effects in large-scale systems from observational data
- Cristina Della Beffa Short hairpin RNAs modeling
- Geert Geeven Gene Expression Modeling Using Lasso
- Sarah Gerster Statistical approach to absolute protein quantification
- Alix Leboucq Simulation design for microarray data
- Andrea Riebler Changepoint models with dependence within segments for detecting epigenetic patterns (an outline)
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