Replies

• 1

  Markus Krupp

  25 August 2009 | 08:10

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  Hi Francesco,

  using R in combination with bioconductor would be the best choice.

  Have a look at the NCBI BRB-Array Tools at http://linus.nci.nih.gov/BRB-ArrayTools.html. It is a MS Excel Frontend which use R and bioconductor but you must not be family with the syntax of R and all statistics.
  However I use R and bioconductor packages like limma, affy, etc for analyse those data instead of using such a black box like BRB-Array.

  Remember, normally you would program every step, which means you have to think about every variable, but here you just click buttons. From my workgroup experience, buttons were clicked easily but reengineering work without knowing what is the button about is very very difficult.

  Ciao,
  Markus

• 2

  karthick natarajan

  28 August 2009 | 07:32

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  Hai markus,

  I using R package for the data analysis,but the problem is that writing the syntax for the same.

  is there any solutions for my problem.

  Thank you,
  karthick.n

• 3

  Vel Shakti

  29 September 2009 | 12:17

  [ Permalink ]

  Dear FRancesco,

  Analyzing microarray data depends on your project study and design, sometimes we need to consider all the minute information before interpreting the data

  We always support scientists with a vision to bridge the gap between biology and technology and provide genomic solutions to researchers (academia and industry) in a biologist friendly mode, providing complete solutions including scientific consultancy and project planning up to delivering publication-ready reports— all at the highest quality

  Mail me shaktivel.g@genotypic.co.in for more details, I will support you in analyzing the data.

  Cheers

  Shaktivel