BioC 2014
Dana-Farber Cancer Institute, Boston, MA, USA
2014-07-30 ~ 2014-08-01
Instructors
Description
This conference highlights current developments within and beyond Bioconductor. Morning scientific talks and afternoon practicals provide conference participants with insights and tools required for the analysis and comprehension of high-throughput genomic data. This year's conference is at the Dana-Farber Cancer Institute Longwood Campus, in Boston, MA. Visit the Conference Registration Page for more information.
Materials
Developer Day
Public Notes
Project Status
- pdf Introduction - Martin Morgan
- pdf Web site, videos, GenomeInfoDb - Sonali Arora
- html BiocCheck,
html
BioC AMI + StarCluster,
html
Subversion Server upgrade - Dan Tenenbaum
- pdf Shiny-phyloseq: Web Application for Interactive Microbiome Analysis with Provenance Tracking – Paul Joey McMurdie
Workshops
Morning Talks
- pptx Mapping cellular hierarchy through single cell analysis – Guocheng Yuan
- pptx Analysis of somatic alterations in the cancer genome – Matthew Meyerson
- pdf Software for Enabling Genomic Data Analysis – Michael Lawrence
- pdf Analysis of small molecule molecular data in R – Kevin Horan
- pdf Flexible analysis of RNA-seq data with Ballgown, Alyssa Frazee
- presentation Epiviz(r): turning a genome browser into an interactive display device – Hector Corrada Bravo
Afternoon Labs
Thursday 1:00 - 2:50
- pdf (slides),
pdf R (lab) R
/ Bioconductor for everyone – Martin Morgan
- html |
Rmd |
R Practical and
html | Rmd |
R Tutorial, Introduction to Flow Cytometry
Data Analysis using OpenCyto and BioConductor – Greg Finak
- pdf | Rnw |
R | data file Analysis of
450k methylation data with the minfi package – Kasper Hansen
-
- pdf Visualisation and assessment of ChIP-seq quality using ChIPQC and Diffbind packages – Tom Carroll
Thursday 3:10 - 5:00
- pdf Learn how to use Bioconductor to
perform common tasks on your high-throughput sequencing data –
Hervé Pagès
- pdf | html |
md Differential gene- and exon-level
expression analyses for RNA-seq data using edgeR, voom and
featureCounts – Mark Robinson
- html | Rmd | R
Genetics of gene expression: computation and integrative prediction
– Vincent Carey
- html | Rmd | R R /
Bioconductor packages for Proteomics – Laurent Gatto
-
Rpres |
R Meta-analysis of genomics experiments using Bioconductor – Levi Waldron |
Friday 1:00 - 2:50
Friday 3:10 - 5:00
- pdf | R | R - Solutions Parallel Computing
with Bioconductor in the Amazon Cloud – Valerie Obenchain
- pdf | R | pkg Variant
calling with Bioconductor – Michael Lawrence
- pdf Visualisation and assessment of ChIP-seq quality using ChIPQC and Diffbind packages – Tom Carroll