Seqanswers Leaderboard Ad

Collapse

Announcement

Collapse
No announcement yet.
X
 
  • Filter
  • Time
  • Show
Clear All
new posts

  • need GRCh37 database

    I am trying to find variants on some bam files I got but GATK requires the exact database used for the alignment.
    Apparently it is GRCh37. Any idea how can I download it?
    I have downloaded a file called homo-cre-GRCh37.zip containing a bunch of homo-##.#.ebwt , does this help me in any way?
    UnifiedGenotyper needs a fasta afaik.

    a little confused here- would love some help
    Thanks
    Moty

  • #2
    The GATK FTP site has all of the file you will need just look in the bundle folders

    Comment


    • #3
      You can download the GRCh37 files from UCSC browser or Broad institute ftp sites.

      Comment


      • #4
        thank you very much for your help. I did manage to get that reference, but appareantly that wasn't enough.
        I know this question was asked, but I never found a solution for that which helped me, but I am getting this error:

        ##### ERROR MESSAGE: Input files reads and reference have incompatible contigs: Order of contigs differences, which is unsafe.
        ##### ERROR reads contigs = [chr1, chr2, chr3, chr4, chr5, chr6, chr7, chr8, chr9, chr10, chr11, chr12, chr13, chr14, chr15, chr16, chr17, chr18, chr19, chr20, chr21, chr22, chrX, chrY, chrM]
        ##### ERROR reference contigs = [chr1, chr2, chr3, chr4, chr5, chr6, chr7, chrX, chr8, chr9, chr10, chr11, chr12, chr13, chr14, chr15, chr16, chr17, chr18, chr20, chrY, chr19, chr22, chr21, chr6_ssto_hap7, chr6_mcf_hap5, chr6_cox_hap2, chr6_mann_hap4, chr6_apd_hap1, chr6_qbl_hap6, chr6_dbb_hap3, chr17_ctg5_hap1, chr4_ctg9_hap1, chr1_gl000192_random, chrUn_gl000225, chr4_gl000194_random, chr4_gl000193_random, chr9_gl000200_random, chrUn_gl000222, chrUn_gl000212, chr7_gl000195_random, chrUn_gl000223, chrUn_gl000224, chrUn_gl000219, chr17_gl000205_random, chrUn_gl000215, chrUn_gl000216, chrUn_gl000217, chr9_gl000199_random, chrUn_gl000211, chrUn_gl000213, chrUn_gl000220, chrUn_gl000218, chr19_gl000209_random, chrUn_gl000221, chrUn_gl000214, chrUn_gl000228, chrUn_gl000227, chr1_gl000191_random, chr19_gl000208_random, chr9_gl000198_random, chr17_gl000204_random, chrUn_gl000233, chrUn_gl000237, chrUn_gl000230, chrUn_gl000242, chrUn_gl000243, chrUn_gl000241, chrUn_gl000236, chrUn_gl000240, chr17_gl000206_random, chrUn_gl000232, chrUn_gl000234, chr11_gl000202_random, chrUn_gl000238, chrUn_gl000244, chrUn_gl000248, chr8_gl000196_random, chrUn_gl000249, chrUn_gl000246, chr17_gl000203_random, chr8_gl000197_random, chrUn_gl000245, chrUn_gl000247, chr9_gl000201_random, chrUn_gl000235, chrUn_gl000239, chr21_gl000210_random, chrUn_gl000231, chrUn_gl000229, chrM, chrUn_gl000226, chr18_gl000207_random]
        ##### ERROR ------------------------------------------------------------------------------------------
        any idea what could be done?

        Comment


        • #5
          Yes, the broad ftp is good or here as well:

          ftp://ftp.sanger.ac.uk/pub/1000genom...ect_reference/

          Comment


          • #6
            I've tried that one, this time I get:
            ##### ERROR reads contigs = [chr1, chr2, chr3, chr4, chr5, chr6, chr7, chr8, chr9, chr10, chr11, chr12, chr13, chr14, chr15, chr16, chr17, chr18, chr19, chr20, chr21, chr22, chrX, chrY, chrM]
            ##### ERROR reference contigs = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, X, Y, MT, GL000207.1, GL000226.1, GL000229.1,...ETC
            is manually renaming the reference contigs from 1 to chr1 and so on worth a shot?

            Comment


            • #7
              Yes, manually changing "1" --> "chr1" and so on will solve your problem. Writing a script is an even better way. You might even strip the GL0*,etc. files and just keep chr1-22,X,Y,M just to keep things simple (since you reads were only aligned to to chr1-22,X,Y,M).

              Comment


              • #8
                well ive done that but, sadly, now it says


                ##### ERROR MESSAGE: Input files reads and reference have incompatible contigs: Found contigs with the same name but different lengths:
                ##### ERROR contig reads = chrM / 16571
                ##### ERROR contig reference = chrM / 16569.
                thanks for all the help thus far all of you.

                has anyone ever had this?

                Comment


                • #9
                  This is the "new chrM plus" Grch37 problem. I'm sure others have other more germanic and shorter syllables descriptions for this. Many hours have been spent dealing with this important "forking" of the data.

                  Basicaly there's 2 chrM's in common usage for hg19/grch37 analysis.
                  You can delete chrM from your analysis or get the right version for your data.

                  I did a bl2seq on the two chrM's and there wasn't much difference: one had 3 inserts the other 1 for a difference of 2 (which you see in the file size difference).

                  see:
                  ftp://ftp.sanger.ac.uk/pub/1000genom...ference/README

                  note comments on NC_012920

                  I hope when grch38/hg20 comes out everybody just sticks with the snapshot.

                  Comment


                  • #10
                    For human alignment, the 1000g phase 1 reference is the most widely used, by nearly all the human projects involving Sanger, Broad and UMich. It is available from the 1000g website, the GATK bundle and the sanger FTP others has pointed out. If possible, try to use that. It is not so trivial to build the right reference genome, though for most this has little practical effect.

                    Comment


                    • #11
                      I do have no need for the reads of chrM at all so removing them might be a good option.
                      I tried using
                      samtools view -b chr1 .. chrY
                      samtools index..
                      but it still gave me the same error. how would you remove it?

                      Comment


                      • #12
                        Edit the chrM entry out of the bamfile header.
                        Dump header using "view -H"
                        Use text editor to delete chrM line.
                        Use "samtools reheader"

                        Comment


                        • #13
                          If you remove the mitochondrial reads from the fasta file you run the risk that those reads align erroneously to the genome. As Ih3 said, most people use the 1000 genomes version including the supercontigs for the same reason you don't want to delete the mitochondrial genome. Look at the 1000 genomes decoy documentation for a full list of reasons you want the most comprehensive fasta file possible.

                          Comment


                          • #14
                            Just to clarify: the decoy reference (I made it) is used by phase 2. The phase-1 reference genome is the mostly used at present.

                            Comment

                            Latest Articles

                            Collapse

                            • seqadmin
                              Advancing Precision Medicine for Rare Diseases in Children
                              by seqadmin




                              Many organizations study rare diseases, but few have a mission as impactful as Rady Children’s Institute for Genomic Medicine (RCIGM). “We are all about changing outcomes for children,” explained Dr. Stephen Kingsmore, President and CEO of the group. The institute’s initial goal was to provide rapid diagnoses for critically ill children and shorten their diagnostic odyssey, a term used to describe the long and arduous process it takes patients to obtain an accurate...
                              12-16-2024, 07:57 AM
                            • seqadmin
                              Recent Advances in Sequencing Technologies
                              by seqadmin



                              Innovations in next-generation sequencing technologies and techniques are driving more precise and comprehensive exploration of complex biological systems. Current advancements include improved accessibility for long-read sequencing and significant progress in single-cell and 3D genomics. This article explores some of the most impactful developments in the field over the past year.

                              Long-Read Sequencing
                              Long-read sequencing has seen remarkable advancements,...
                              12-02-2024, 01:49 PM

                            ad_right_rmr

                            Collapse

                            News

                            Collapse

                            Topics Statistics Last Post
                            Started by seqadmin, 12-17-2024, 10:28 AM
                            0 responses
                            33 views
                            0 likes
                            Last Post seqadmin  
                            Started by seqadmin, 12-13-2024, 08:24 AM
                            0 responses
                            49 views
                            0 likes
                            Last Post seqadmin  
                            Started by seqadmin, 12-12-2024, 07:41 AM
                            0 responses
                            34 views
                            0 likes
                            Last Post seqadmin  
                            Started by seqadmin, 12-11-2024, 07:45 AM
                            0 responses
                            46 views
                            0 likes
                            Last Post seqadmin  
                            Working...
                            X