NIA Array Analysis Tool



Comparing 2 tissues with 1-color arrays

The input file should be a tab-delimited text the specified format. If you use log-transformed data check the corresponding box. Replications are grouped together, as shown in the example below.

Example of an input file (2 tissues, 1-color arrays)

Geneid
Embryo-rep1
Embryo-rep2
Embryo-rep3
Placenta-rep1
Placenta-rep2
Placenta-rep3
1
180
314
296
433
182
311
2
6780
17085
9223
18468
8623
15019
3
16592
15161
10476
16790
9752
10316
4
2896
239
101
59
29
53
5
5496
4283
6635
4912
4459
3175

Or a simpler way:
Geneid
Embryo
Embryo
Embryo
Placenta
Placenta
Placenta
1
180
314
296
433
182
311
2
6780
17085
9223
18468
8623
15019
3
16592
15161
10476
16790
9752
10316
4
2896
239
101
59
29
53
5
5496
4283
6635
4912
4459
3175

You can always change tissue names after the file was loaded, so you don't need to edit column headers. However, if column headers are correct then you can use the option (checkbox) to use column headers, and then you will not need to edit them after loading.

To upload the file, click the "Browse..." button near field "Upload new data file". If you need normalization, check the "normalize" box. If you need split-normalization, use 2nd column of the input file for array index and check the "split-normalize" box. Then push "Upload" button. After the file is loaded push "Continue". After the file is downloaded, some default parameters are already filled in. However you need to modify some of them to specify your experiment.

Description. Write a short description of your experiment, e.g., "Embryo vs. Placenta".

Array type. Select the array type that you used. If the array type is not specified then you will not get references to gene symbols and annotations from graphs and tables. However you can upload you own array annotation if you click on the "Add array" button. See array annotation

. Number of colors in the array. Set it to "1-color arrays".

For this example there are 2 experiments (2 tissues), with 3 replications in each. Thus the table of experiments should look like this:

Other parameters can be left with their default values. However in some special cases you may need to change some of these parameters. Then use links from parameter names as a guide for changing.
WARNING: Do NOT change parameters if you don't understand their effect on program performance. First read the description of the parameter!

If you use subreplications, then fill out the bottom table. Otherwise leave it blank. For example, if each replication had 2 technical subreplications (i.e., each biological sample was hybridized twice), then the input file would have 12 data columns instead of 6. Then the lower table will have numbers: 2 2 2 2 2 2. There are 2 tissues, each replicated 3 times, so there are 6 replications total, and for each we specify the number of subreplications.

Advanced topic: paired experiments

In some cases experiments are paired, and we expect that results are correlated in each pair. For example, you may do your experiment in 3 days, and each day you hybridyze 2 arrays: 1 embryo, and 1 placenta. Because experiment conditions may slightly change from day to day (or your skills may increase with every experiment), it is possible that experiments that are done in one day are correlated more closely than those done in different days. In this case you can analyze data as if they were obtained with 2-color arrays. The input table should be reformated so that columns with paired experiments are located next to each other:

Geneid
Embryo
rep1
Placenta
rep1
Embryo
rep2
Placenta
rep2
Embryo
rep3
Placenta
rep3
1
180
433
314
182
296
311
2
6780
18468
17085
8623
9223
15019
3
16592
16790
15161
9752
10476
10316
4
2896
59
239
29
101
53
5
5496
4912
4283
4459
6635
3175

Then the number of colors in array should be set to "2-color arrays". It will be only 1 experiment named "Embryo" with 3 replications. Placenta is then used as a reference. Thus, change the field from "don't analyze reference" to "analyze reference", then type in "Placenta" into the Reference name field. This type of analysis may yield a greater number of significant genes than if you use "1-color array" option.