Training

We are not currently offering a schedule of classes; however, if a suitably sized group within FAS would like to arrange a session we will try our best to accommodate such a group. We would aim to gather five individuals for a class. For more information, please contact support@lsdiv.harvard.edu.

To give you an idea of where we can help, in the past we have given training sessions on the following subjects.

Sequence analysis

Introduction to EMBOSS: an introductory course on using the EMBOSS suite of more than 100 sequence analysis programs.
Promoter analysis: a course on the analysis of the promoter regions of genes, to identify the sites involved in the regulation of their expression.
Biocomputing on the web: a survey course on databases and tools available on the web for computational biology research.
Functional discovery: a course on how to annotate a given cDNA or protein sequence using a wide range of computational biology tools and database resources.

Microarray Data Analysis

Introduction to Microarrays and Data Analysis using Rosetta Resolver: a general introduction to Microarrays and Microarray technology and the use of Rosetta Resolver software to carry out data analysis. This is a three hour course and is offered on the first Tuesday of every Month between 10 A.M and 1.00 P.M.
Introduction to dChip (DNA-Chip analyzer): an introduction to model- based analysis of oligonucleotide arrays.
Bioconductor: an introduction to R and Bioconductor for microarray analysis.
Introduction to GCOS: a course that gives step-by-step instructions on how to process and scan Affymetrix GeneChips.
Single-channel microrray analysis: a course on the analysis of single-channel (oligonucleotide) microarrays using various micorarray tools.
Two-channel microarray analysis: a course on the analysis of two-channel (cy3-cy5 dye) microarrays using various microarray tools.

General Bioinformatics

Using Unix and working on Linux clusters: a general introduction to the UNIX operating system for newbies, and how to use Linux clusters, such as the Bauer Core cluster.
Advanced bioinformatics — Perl and Bioperl: a basic introduction to using Perl and Bioperl in bioinformatics
Data Manipulation for Non-Programming Biologistsa course on programming-free data analysis for biologists. It uses the Scriptome, a set of tools that filter, format and merge data in tabular or common biological formats.