How to combine multiple text files of different lengths and multiple columns by a column












3















I have 60 text files of different lengths and same column names.



For example:



cat Sample_145_Chimeric.out.junction.new.back_spliced_junction.bed.Circexplorer2.txt | gawk '{print $14}' | sort | uniq -c
19258 circRNA
612 ciRNA

cat Sample_146_Chimeric.out.junction.new.back_spliced_junction.bed.Circexplorer2.txt | gawk '{print $14}' | sort | uniq -c
17791 circRNA
729 ciRNA

cat Sample_147_Chimeric.out.junction.new.back_spliced_junction.bed.Circexplorer2.txt | gawk '{print $14}' | sort | uniq -c
22838 circRNA
686 ciRNA

cat Sample_148_Chimeric.out.junction.new.back_spliced_junction.bed.Circexplorer2.txt | gawk '{print $14}' | sort | uniq -c
19404 circRNA
475 ciRNA


I want to produce a 'master' table of all identified circRNAs, with readnumber as column for each sample and flankintronas rownames:



screen shot of the file










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    3















    I have 60 text files of different lengths and same column names.



    For example:



    cat Sample_145_Chimeric.out.junction.new.back_spliced_junction.bed.Circexplorer2.txt | gawk '{print $14}' | sort | uniq -c
    19258 circRNA
    612 ciRNA

    cat Sample_146_Chimeric.out.junction.new.back_spliced_junction.bed.Circexplorer2.txt | gawk '{print $14}' | sort | uniq -c
    17791 circRNA
    729 ciRNA

    cat Sample_147_Chimeric.out.junction.new.back_spliced_junction.bed.Circexplorer2.txt | gawk '{print $14}' | sort | uniq -c
    22838 circRNA
    686 ciRNA

    cat Sample_148_Chimeric.out.junction.new.back_spliced_junction.bed.Circexplorer2.txt | gawk '{print $14}' | sort | uniq -c
    19404 circRNA
    475 ciRNA


    I want to produce a 'master' table of all identified circRNAs, with readnumber as column for each sample and flankintronas rownames:



    screen shot of the file










    share|improve this question









    New contributor




    grt is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.























      3












      3








      3








      I have 60 text files of different lengths and same column names.



      For example:



      cat Sample_145_Chimeric.out.junction.new.back_spliced_junction.bed.Circexplorer2.txt | gawk '{print $14}' | sort | uniq -c
      19258 circRNA
      612 ciRNA

      cat Sample_146_Chimeric.out.junction.new.back_spliced_junction.bed.Circexplorer2.txt | gawk '{print $14}' | sort | uniq -c
      17791 circRNA
      729 ciRNA

      cat Sample_147_Chimeric.out.junction.new.back_spliced_junction.bed.Circexplorer2.txt | gawk '{print $14}' | sort | uniq -c
      22838 circRNA
      686 ciRNA

      cat Sample_148_Chimeric.out.junction.new.back_spliced_junction.bed.Circexplorer2.txt | gawk '{print $14}' | sort | uniq -c
      19404 circRNA
      475 ciRNA


      I want to produce a 'master' table of all identified circRNAs, with readnumber as column for each sample and flankintronas rownames:



      screen shot of the file










      share|improve this question









      New contributor




      grt is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.












      I have 60 text files of different lengths and same column names.



      For example:



      cat Sample_145_Chimeric.out.junction.new.back_spliced_junction.bed.Circexplorer2.txt | gawk '{print $14}' | sort | uniq -c
      19258 circRNA
      612 ciRNA

      cat Sample_146_Chimeric.out.junction.new.back_spliced_junction.bed.Circexplorer2.txt | gawk '{print $14}' | sort | uniq -c
      17791 circRNA
      729 ciRNA

      cat Sample_147_Chimeric.out.junction.new.back_spliced_junction.bed.Circexplorer2.txt | gawk '{print $14}' | sort | uniq -c
      22838 circRNA
      686 ciRNA

      cat Sample_148_Chimeric.out.junction.new.back_spliced_junction.bed.Circexplorer2.txt | gawk '{print $14}' | sort | uniq -c
      19404 circRNA
      475 ciRNA


      I want to produce a 'master' table of all identified circRNAs, with readnumber as column for each sample and flankintronas rownames:



      screen shot of the file







      command-line






      share|improve this question









      New contributor




      grt is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question









      New contributor




      grt is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.









      share|improve this question




      share|improve this question








      edited 13 hours ago









      dessert

      25.1k673106




      25.1k673106






      New contributor




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      asked 15 hours ago









      grtgrt

      16




      16




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      New contributor





      grt is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






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          If all of the columns in all of the files are in the same order, then just concat them together with >>:



          for x in {1..60}; do 
          # These flags for tail just cut of the top line, which is your headers
          tail -n 2 Sample_$x_blah.txt >> Sample_master.txt
          # and the double carat makes the output append^
          done


          If not, then you can write the translations in awk sort of like you had above, i.e.



          $ cat Sample_1.txt 
          col1,col2,col3,col4 #etc
          $ cat Sample_2.txt
          col4,col3,col2,col1
          $ cat Sample_1.txt > Sample_Master.txt # no translation needed
          $ awk '{print $4","$3","$2","$1 }' Sample_2.txt >> Sample_Master.txt


          But with 60 files, that would be more work than- something like writing a python script using python's csv lib...






          share|improve this answer

























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            1 Answer
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            active

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            1 Answer
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            active

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            active

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            3
















            If all of the columns in all of the files are in the same order, then just concat them together with >>:



            for x in {1..60}; do 
            # These flags for tail just cut of the top line, which is your headers
            tail -n 2 Sample_$x_blah.txt >> Sample_master.txt
            # and the double carat makes the output append^
            done


            If not, then you can write the translations in awk sort of like you had above, i.e.



            $ cat Sample_1.txt 
            col1,col2,col3,col4 #etc
            $ cat Sample_2.txt
            col4,col3,col2,col1
            $ cat Sample_1.txt > Sample_Master.txt # no translation needed
            $ awk '{print $4","$3","$2","$1 }' Sample_2.txt >> Sample_Master.txt


            But with 60 files, that would be more work than- something like writing a python script using python's csv lib...






            share|improve this answer






























              3
















              If all of the columns in all of the files are in the same order, then just concat them together with >>:



              for x in {1..60}; do 
              # These flags for tail just cut of the top line, which is your headers
              tail -n 2 Sample_$x_blah.txt >> Sample_master.txt
              # and the double carat makes the output append^
              done


              If not, then you can write the translations in awk sort of like you had above, i.e.



              $ cat Sample_1.txt 
              col1,col2,col3,col4 #etc
              $ cat Sample_2.txt
              col4,col3,col2,col1
              $ cat Sample_1.txt > Sample_Master.txt # no translation needed
              $ awk '{print $4","$3","$2","$1 }' Sample_2.txt >> Sample_Master.txt


              But with 60 files, that would be more work than- something like writing a python script using python's csv lib...






              share|improve this answer




























                3












                3








                3









                If all of the columns in all of the files are in the same order, then just concat them together with >>:



                for x in {1..60}; do 
                # These flags for tail just cut of the top line, which is your headers
                tail -n 2 Sample_$x_blah.txt >> Sample_master.txt
                # and the double carat makes the output append^
                done


                If not, then you can write the translations in awk sort of like you had above, i.e.



                $ cat Sample_1.txt 
                col1,col2,col3,col4 #etc
                $ cat Sample_2.txt
                col4,col3,col2,col1
                $ cat Sample_1.txt > Sample_Master.txt # no translation needed
                $ awk '{print $4","$3","$2","$1 }' Sample_2.txt >> Sample_Master.txt


                But with 60 files, that would be more work than- something like writing a python script using python's csv lib...






                share|improve this answer

















                If all of the columns in all of the files are in the same order, then just concat them together with >>:



                for x in {1..60}; do 
                # These flags for tail just cut of the top line, which is your headers
                tail -n 2 Sample_$x_blah.txt >> Sample_master.txt
                # and the double carat makes the output append^
                done


                If not, then you can write the translations in awk sort of like you had above, i.e.



                $ cat Sample_1.txt 
                col1,col2,col3,col4 #etc
                $ cat Sample_2.txt
                col4,col3,col2,col1
                $ cat Sample_1.txt > Sample_Master.txt # no translation needed
                $ awk '{print $4","$3","$2","$1 }' Sample_2.txt >> Sample_Master.txt


                But with 60 files, that would be more work than- something like writing a python script using python's csv lib...







                share|improve this answer














                share|improve this answer



                share|improve this answer








                edited 13 hours ago









                dessert

                25.1k673106




                25.1k673106










                answered 14 hours ago









                rm-vandarm-vanda

                2,29821323




                2,29821323






















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