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OBJECTIVES

The participants will be provided with end-to-end hands-on training, along with introduction to basic concepts, in using popular tools and techniques for sequence analysis, structure analysis, function prediction, biological database searching, "omics" data analysis, pathway analysis, data visualization, data curation and integration, linux, R, perl and scripting basics.

BACKGROUND

Bioinformatics (Computational Biology) is a must skill required in every modern biomedical research lab. Installing and configuring a wide variety of computational biology tools is a cumbersome task that requires software engineering skills. This hands-on training course will introduce participants to a comprehensive set of bioinformatics concepts, tools and techniques, using a cloud based, all-in-one, fully loaded linux desktop (with windows like graphical user interface) machine, that comes with hundreds of popular computational biology (bioinformatics) tools required for a successful modern biomedical research lab.

HIGHLIGHTS

Participants will use a Graphic User Interface based Linux Desktop environment, specially configured for bioinformatics analysis in the Amazon Cloud
Training provided by experienced active NIH researchers
Cookbook style bound manual for all exercises
Direct, after training support through exclusive forum membership
Continuing Educational Credits

Hands-on Skills/Tools Taught:

Databases: NCBI-ENTREZ, UniProt, PDB, STRING, Others
Sequence analysis and function predictions: EMBOSS suite & others
Local Alignment: EMBOSS-WATER
Global Alignment: EMBOSS-NEEDLE
Similarity search: NCBI BLAST, PSI-BLAST
Multiple sequence alignment: Clustal Omega, MUSCLE, MAFFT
Phylogenetics: MrBayes, MEGA, FigTree and Dendroscope
Motif finding, analysis: MEME suite
Structure prediction, visualization & analysis: PyMOL, Chimera, iTASSER
Transcriptome analysis: NCBI GEO, Tuxedo tools, R
Enrichment analysis: DAVID
Pathway analysis: Cytoscape
Programming: R, Perl, Python
Platforms: EMBOSS, UGENE, H2O, Galaxy

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