Statistics for Genomics

Friday, November 24, 2006

Background materials

Genomics and Microarrays:

Stanford Microarray Database : storing lots of raw and normalized data from microarray experiments

Genomics tutorial at Genome Canada:
http://www.genomecanada.ca/xpublic/dnaBasics/index.asp?l=e

Introductions to microarray at NCBI: http://www.ncbi.nlm.nih.gov/About/primer/microarrays.html

Microarray (movie):
http://www.broad.harvard.edu/chembio/lab_schreiber/anims/videos/microarray.html

other resourses for microarray:
http://www.learner.org/channel/courses/biology/units/genom/images.html

image analysis for microarray:
http://www.maths.usyd.edu.au/u/jeany/ (publication)
http://www.stat.berkeley.edu/users/terry/zarray/Talks/image/jpegindex.html http://cmm.ensmp.fr/~angulo/research/dnamicro.htm

Bioconductor: The richest source of freely available packages for genomic data analysis

Nature article: the perspective of biologists facing heaps of noisy genomic data including their urgent need for better methods and computationally and statistically skilled support.


Biology:

Retroviruses : http://www.whfreeman.com/kuby/content/anm/kb03an01.htm (FLASH)

human genome project(movies): http://www.genome.gov/Pages/EducationKit/download.html

the central dogma of molecular biology (wonderful movie):
http://www.genome.gov/Pages/EducationKit/video/qt/3D.mov

EBM & Clinical Research Workstation menu: http://www.shdem.com/ebm/default.asp

Biochemistry & Epidemiology useful link:
http://www.med-ed.virginia.edu/menu/otherMedEd.cfm
 

Statistics:

online textbook for statistics: http://www.stat.berkeley.edu/~stark/SticiGui/Text/toc.htm

Terry Speed's Microarray homepage: statistical challenges related to microarray data

Statistics: http://www.bettycjung.net/statsiteS.htm


Computing technology:

Introduction to R for biologists (by Natalie Roberts, WEHI, Melbourne)

R manuals under link "Manuals" (left column)

manuals: http://cran.r-project.org/manuals.html

R tutorial: http://www.personality-project.org/r/

R package: Statistics for Microarray Analysis

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