How to extract Common Genes from 2 spreadsheets

[byou678]

Now I have two Excel spreadsheets, parts of them are as below:

Spreadsheet1

Gene Change Padj
1 212 0.0006
2 99 0.09
3 15 0.7
4 59 0.456
5 418 0.00001
6 566 0

Spreadsheet2

Gene Statistic FDR
1 28 0.0005
2 17 0.007
3 3 0.81
4 8 0.28
5 48 0.002
6 111 0

Using Excel, how can I create one new spreadsheet that only includes the
Genes with both Padj and FDR are less than 0.05?

And how can I do this in any other statsitical software, Like R, SPSS?
Thanks very much for any idea for any question!

[ECO]

This is cake in R...

Depending on how large the datasets are, read them into R. The example below (using read.table) is just for using the clipboard in MacOSX (highlight in excel, copy, then run that line). The equiv in windows is read.table("clipboard",sep='\t',header=TRUE).

[B]> df1 <- read.table(pipe("pbpaste"),header=TRUE)
> df1[/B]
  Gene Change    Padj
1    1    212 0.00060
2    2     99 0.09000
3    3     15 0.70000
4    4     59 0.45600
5    5    418 0.00001
6    6    566 0.00000
[B]> df2 <- read.table(pipe("pbpaste"),header=TRUE)
> df2[/B]
  Gene Statistic    FDR
1    1        28 0.0005
2    2        17 0.0070
3    3         3 0.8100
4    4         8 0.2800
5    5        48 0.0020
6    6       111 0.0000
[B]> df3 <- merge(df1,df2)
> df3[/B]
  Gene Change    Padj Statistic    FDR
1    1    212 0.00060        28 0.0005
2    2     99 0.09000        17 0.0070
3    3     15 0.70000         3 0.8100
4    4     59 0.45600         8 0.2800
5    5    418 0.00001        48 0.0020
6    6    566 0.00000       111 0.0000
[B]> df3[df3$Padj< 0.05 & df3$FDR < 0.05,][/B]
  Gene Change  Padj Statistic   FDR
1    1    212 6e-04        28 5e-04
5    5    418 1e-05        48 2e-03
6    6    566 0e+00       111 0e+00
[B]> write.csv(df3[df3$Padj< 0.05 & df3$FDR < 0.05,])[/B]
"","Gene","Change","Padj","Statistic","FDR"
"1",1,212,6e-04,28,5e-04
"5",5,418,1e-05,48,0.002
"6",6,566,0,111,0

[byou678]

Thanks ECO, I run the similar codes in R, too. And I can get the result like yours Just based on the Spreadsheets showed in this thread. Sorry for not telling more info about my data:But I have more Genes(37970) in Spreadsheet2 than Spreadsheet1 (17980). It supposed to have 17980 Genes left after merging [the 19990(37970-17980) Genes which only in Spreadsheet2 will not appear in the merged sheets]. Unfortunately, it messed up after merging. Any idea will be greatly appreciated.

This is cake in R...

Depending on how large the datasets are, read them into R. The example below (using read.table) is just for using the clipboard in MacOSX (highlight in excel, copy, then run that line). The equiv in windows is read.table("clipboard",sep='\t',header=TRUE).

[B]> df1 <- read.table(pipe("pbpaste"),header=TRUE)
> df1[/B]
  Gene Change    Padj
1    1    212 0.00060
2    2     99 0.09000
3    3     15 0.70000
4    4     59 0.45600
5    5    418 0.00001
6    6    566 0.00000
[B]> df2 <- read.table(pipe("pbpaste"),header=TRUE)
> df2[/B]
  Gene Statistic    FDR
1    1        28 0.0005
2    2        17 0.0070
3    3         3 0.8100
4    4         8 0.2800
5    5        48 0.0020
6    6       111 0.0000
[B]> df3 <- merge(df1,df2)
> df3[/B]
  Gene Change    Padj Statistic    FDR
1    1    212 0.00060        28 0.0005
2    2     99 0.09000        17 0.0070
3    3     15 0.70000         3 0.8100
4    4     59 0.45600         8 0.2800
5    5    418 0.00001        48 0.0020
6    6    566 0.00000       111 0.0000
[B]> df3[df3$Padj< 0.05 & df3$FDR < 0.05,][/B]
  Gene Change  Padj Statistic   FDR
1    1    212 6e-04        28 5e-04
5    5    418 1e-05        48 2e-03
6    6    566 0e+00       111 0e+00
[B]> write.csv(df3[df3$Padj< 0.05 & df3$FDR < 0.05,])[/B]
"","Gene","Change","Padj","Statistic","FDR"
"1",1,212,6e-04,28,5e-04
"5",5,418,1e-05,48,0.002
"6",6,566,0,111,0

[ECO]

Just need to tell merge what to do...(note I added two extra genes into df1)

[B]> df1[/B]
  Gene Change    Padj
1    1    212 0.00060
2    2     99 0.09000
3    3     15 0.70000
4    4     59 0.45600
5    5    418 0.00001
6    6    566 0.00000
7    7    123 0.00000
8    8    125 0.04000
[B]> df2[/B]
  Gene Statistic    FDR
1    1        28 0.0005
2    2        17 0.0070
3    3         3 0.8100
4    4         8 0.2800
5    5        48 0.0020
6    6       111 0.0000
[B]> merge(df1,df2,on=Gene)[/B]
  Gene Statistic    FDR Change    Padj
1    1        28 0.0005    212 0.00060
2    2        17 0.0070     99 0.09000
3    3         3 0.8100     15 0.70000
4    4         8 0.2800     59 0.45600
5    5        48 0.0020    418 0.00001
6    6       111 0.0000    566 0.00000

edit: Looks like "on" isn't necessary...something else going on with your data? Merge is pretty smart by default...

[byou678]

Thanks again ECO. Yes, I like using R too and I have figured it out.

Just need to tell merge what to do...(note I added two extra genes into df1)

[B]> df1[/B]
  Gene Change    Padj
1    1    212 0.00060
2    2     99 0.09000
3    3     15 0.70000
4    4     59 0.45600
5    5    418 0.00001
6    6    566 0.00000
7    7    123 0.00000
8    8    125 0.04000
[B]> df2[/B]
  Gene Statistic    FDR
1    1        28 0.0005
2    2        17 0.0070
3    3         3 0.8100
4    4         8 0.2800
5    5        48 0.0020
6    6       111 0.0000
[B]> merge(df1,df2,on=Gene)[/B]
  Gene Statistic    FDR Change    Padj
1    1        28 0.0005    212 0.00060
2    2        17 0.0070     99 0.09000
3    3         3 0.8100     15 0.70000
4    4         8 0.2800     59 0.45600
5    5        48 0.0020    418 0.00001
6    6       111 0.0000    566 0.00000

edit: Looks like "on" isn't necessary...something else going on with your data? Merge is pretty smart by default...