. . . Skip to main content

Partek Genomics Suite (PGS): Nov 2013

General Information

NML Bioinformatics is very pleased to host a two-day hands-on training event for Partek Flow and Partek Genomics Suite (PGS).

Major Topics:

  • Microarray data analysis
    • Gene expression analysis
    • Integrated analysis of gene and miRNA expression
  • Next-gen sequencing data analysis
    • RNA-seq analysis with Partek Flow
    • ChIP-seq analysis with PGS
    • Additional topics, including data visualization, SNV detection, alternative splicing, clustering analysis, etc.

Key Features:

  • Hands-on practices:
    Step-by-step instructions on analyzing microarray and next-generation sequencing data (see below for training datasets and materials)
  • Professional consultation:
    Bring your own data and go through analysis with the guidance of the Partek customer support team

Time: Nov.5-6, 2013

Place: Aresty Auditorium, HSC (Directions)

Registration is mandatory. 

Training Agenda

Tuesday Nov.5, 2013

         8:45 am                              Free breakfast

         9:00 am – 11:30 am        Microarray data analysis with Partek Genomic Suite (hands-on)

         2:00 pm –4:30 pm           ChIP-seq analysis with Partek Genomic Suite (hands-on)

 

Nov. 6, Wednesday

         8:45 am                               Free breakfast

         9:00 am – noon                RNA-seq data analysis with Partek Flow

         1:00 pm –2:30 pm           Additional topics for RNA-seq analysis (data visualization,

                                                        SNV detection, alternative splicing, clustering analysis, etc.)

         2:45 pm – 4:30 pm          User data analysis one-on-one consultation

Training Materials

Hands-on practice datasets

Gene Expression workflow

  • Dataset (zip file, 66M)
    Unzip the files to a folder anywhere on your hard drive (Desktop\GeneExpression recommended).
  • Gene expression analysis tutorial (PDF)

ChIP-seq workflow

  • Dataset (zip file, 700MB)
    Unzip the files to a folder anywhere on your hard drive (Desktop\ChIPseq recommended).
  • ChIP-seq analysis tutorial (PDF)