Rank indicates the rank order of the genes based on gene expression differences. Clicking on the rank number will show you genes that have similar expression profiles, using all of the chips.
Gene indicates the name of the clone. Clicking on the gene name gets you the blast score from KoharaÕs web site.
Log ratio is the ln(signal1/signal2). So a score of 1 means the gene is expressed 2.7x more in the experiment than in the control. A score of -1 means that the gene is expressed 2.7x less in the experiment than in the control. Clicking on log ratio tells you more about the level of expression of this clone.
Function tells you something about the gene. Ultimately, function will tell you the type of protein encoded, and the name of the genetic locus if known. Currently, function tells you the random gene name assigned by Kohara to this particular EST. The expression level is shown in parentheses (See expression level below). Low numbers mean the gene was barely expressed and could fluctuate due to noise.
Click on rank to go to Correlations.
Click on log ratio to go to Expression levels
Levels tells you the relative expression level for your chip (experiment/control). 1.0 is the mean expression level for all genes. 2.0 means your gene was expressed twice as much as the average gene etc. Baselines tells you the background for that chip, so you know if your expression level is above background.
log ratio tells you how much your gene is regulated in other chips. It shows the natural log of the green/red ratio. A score of 1.0 means the gene is expressed 2.7 times more in the experiment than the control.
There are several caveats in the correlation analysis:
1 - correlations below around 0.7 don't mean much.
2 - there is an expression levels column in the output. The unit is mean gene expression. A score of 1 means
this gene is expressed like the average of all genes. Highly expressed genes have a score greater than 1, and
lowly expressed genes have a score less than 1. If the gene never gets up to 1.0 don't believe the correlation
- there are artifactual correlations in low-level expressed genes arising from
the background correction.
To compare one set of targets to another set of targets
goto: wormxcmp4
Suppose you would like to know how one chip experiment (say a Vul mutant) compares to another chip experiment (another Vul mutant). Find the experiment number for the first vul mutant from wormfront2 (experiment 1 is lin-31 in the above example), and set exp#1 equal to that number in the URL. Do the same for the second vul mutant (experiment 2 is let-60(gf) in the above example). Set your reference number to any one of the chip experiments that is within the same class as the ones you want to compare. Then it looks for any gene that moved by 0.75 in at least one of the averages and sorts by how similar the changes were. (You can more than 2 experiments by adding &exp#3=xx etc.)
This is useful to see how similar different RNA batches, different alleles and mutations in different genes are to
each other.
To find a specific clone:
Try wormdata1. The text string is used for a case insensitive match on the beginning of the name you see in the output. For example, LIN-1 would find lin-15. The reference experiment picks an experiment to set the baseline as a control.