Biointelligence

September 22, 2009

Minimum Information about a Microarray Experiment

Filed under: Bioinformatics,Microarray — Biointelligence: Education,Training & Consultancy Services @ 11:20 am
Tags: , , ,

After genome sequencing, DNA microarray analysis has become the most widely used source of genome scale data in the life sciences. Microarray expression studies are producing massive qunatities of gene expression and other functional genomics data, which priomise to provide an insight into gene function and inetractions within and across metabolic pathways. Unlike genome sequence data, however, which have standard formats for presentation and widely used tools and databases, much of the microarray daa generated so far remain inaccessible.

To make this information accesible in a proper format MIAME (Minimum Information About a Microarray Experiment) was introduced. MIAME format was introduced to address the ned for comprehensive annotation necessary to interpret the results of microarray data. It is platform independent but includes essential evidence about how the gene expression level measurements have been obtained.

Although the goal of MIAME is to specify only the content of the information and not the technical format, MIAME includes recommendations for which parts of the information should be provided as controlled vocabularies. MIAME includes a description of the six sections which need to be included:

1. Experimental Design
2. Array Design
3. Samples
4. Hybridizations
5. Measurements
6. Normalization controls

This specific format would really make it easy to interpret microarray data obtained from various experiments.
To read more on MIAME click here-  http://www.mged.org/Workgroups/MIAME/miame.html

 

 
After genome sequencing, DNA microarray analysis has become the most widely used source of genome scale data in the life sciences. Microarray expression studies are producing massive qunatities of gene expression and other functional genomics data, which priomise to provide an insight into gene function and inetractions within and across metabolic pathways. Unlike genome sequence data, however, which have standard formats for presentation and widely used tools and databases, much of the microarray daa generated so far remain inaccessible.

To make this information accesible in a proper format MIAME (Minimum Information About a Microarray Experiment) was introduced. MIAME format was introduced to address the ned for comprehensive annotation necessary to interpret the results of microarray data. It is platform independent but includes essential evidence about how the gene expression level measurements have been obtained.

Although the goal of MIAME is to specify only the content of the information and not the technical format, MIAME includes recommendations for which parts of the information should be provided as controlled vocabularies. MIAME includes a description of the six sections which need to be included:

1. Experimental Design
2. Array Design
3. Samples
4. Hybridizations
5. Measurements
6. Normalization controls

This specific format would really make it easy to interpret microarray data obtained from various experiments.
To read more on MIAME click here-  http://www.mged.org/Workgroups/MIAME/miame.html

 

 
After genome sequencing, DNA microarray analysis has become the most widely used source of genome scale data in the life sciences. Microarray expression studies are producing massive qunatities of gene expression and other functional genomics data, which priomise to provide an insight into gene function and inetractions within and across metabolic pathways. Unlike genome sequence data, however, which have standard formats for presentation and widely used tools and databases, much of the microarray daa generated so far remain inaccessible.

To make this information accesible in a proper format MIAME (Minimum Information About a Microarray Experiment) was introduced. MIAME format was introduced to address the ned for comprehensive annotation necessary to interpret the results of microarray data. It is platform independent but includes essential evidence about how the gene expression level measurements have been obtained.

Although the goal of MIAME is to specify only the content of the information and not the technical format, MIAME includes recommendations for which parts of the information should be provided as controlled vocabularies. MIAME includes a description of the six sections which need to be included:

1. Experimental Design
2. Array Design
3. Samples
4. Hybridizations
5. Measurements
6. Normalization controls

This specific format would really make it easy to interpret microarray data obtained from various experiments.
To read more on MIAME click here-  http://www.mged.org/Workgroups/MIAME/miame.html

Advertisements

2 Comments »

  1. what a great site and informative posts, I will add a backlink and bookmark your site. Keep up the good work!

    Comment by RobD — October 6, 2009 @ 9:47 pm | Reply

  2. I usually don’t post on Blogs but ya forced me to, great info.. excellent!

    Comment by Bill Bartmann — October 9, 2009 @ 4:13 pm | Reply


RSS feed for comments on this post. TrackBack URI

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

%d bloggers like this: