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    Education: Training in Bioinformatics for Beginners @ NIH
    Submitted by Vijayaraj Nagarajan; posted on Monday, March 19, 2018

    April 17-20, 2018
    National Institutes of Health
    9000 Rockville Pike
    Building 60, Room 162
    Bethesda, MD 20892, USA
    https://events.r20.constantcontact.com/register/eventReg?oeidk=a07ef2x8ihl2ce7018d&oseq=&c=&ch=

    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 custom, 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.

    OBJECTIVES

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

    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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