Entering edit mode
6.3 years ago
p2.leo
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0
$ bam-readcount -f /v2/reference/human_g1k_v37_decoy.fasta -l test.bed /pValSeq/run202/20180430-0002.bam -q 20 -i -d 1000
returns:
Minimum mapping quality is set to 20
Expect library: KapD-20180607-0002 in BAM
Floating point exception (core dumped)
Any ideas?? Tried all other options etc
BAM file from novoalign, exome, reference and bam otherwise ok
$ bam-readcount -v
bam-readcount version: 0.8.0-unstable-6-963acab-dirty (commit 963acab-dirty)
$ cat test.bed
1 21295970 21295971
1 35250655 35250656
Bam looks or genoyped via GATK reference matches.....
$ samstool view -H
*@HD VN:1.0 SO:coordinate
@RG ID:HKL2TBGX5-4-708-501 CN:ATGC DS:i7_sequence=TAATGCGC|sample_type=XTumour|library_id=KapD-20180607-0002|flowcell_id=HKL2TBGX5|sample_id=20180430-0002|nucleic_type=DNA|capture_type=IdtXPC|preservation_type=Fresh|library_type=KapDH|lane=4|run_id=180611_NB501489_0202_AHKL2TBGX5|cohort_id=NBCF_Riccardo_Paul|instrument_id=NB501489|i5_sequence=AGGCTATA|run_start_date=2018-06-11|capture_id=IDTX-20180607-0001|portion_id=A|subject_id=MDA-MB-231 DT:2018-06-11 LB:KapD-20180607-0002 PL:ILLUMINA PM:NB501489 PU:HKL2TBGX5_4 SM:20180430-0002
@PG ID:novoalign PN:novoalign VN:V3.08.02 CL:novoalign -o SAM "@RG\tID:HKL2TBGX5-4-708-501\tCN:ATGC\tDS:i7_sequence=TAATGCGC|sample_type=XTumour|library_id=KapD-20180607-0002|flowcell_id=HKL2TBGX5|sample_id=20180430-0002|nucleic_type=DNA|capture_type=IdtXPC|preservation_type=Fresh|library_type=KapDH|lane=4|run_id=180611_NB501489_0202_AHKL2TBGX5|cohort_id=NBCF_Riccardo_Paul|instrument_id=NB501489|i5_sequence=AGGCTATA|run_start_date=2018-06-11|capture_id=IDTX-20180607-0001|portion_id=A|subject_id=MDA-MB-231\tDT:2018-06-11\tLB:KapD-20180607-0002\tPL:ILLUMINA\tPM:NB501489\tPU:HKL2TBGX5_4\tSM:20180430-0002" -c 12 -r All 1 -d /work2/ATG_datasets/clinical-data/v2/reference/human_g1k_v37_decoy_iupac.ndx -f /work/ATG/clinical/fastq/180611_NB501489_0202_AHKL2TBGX5/ATG/HKL2TBGX5-4-708-501_S24_L004_R1_001.fastq.gz /work/ATG/clinical/fastq/180611_NB501489_0202_AHKL2TBGX5/ATG/HKL2TBGX5-4-708-501_S24_L004_R2_001.fastq.gz -F STDFQ --hlimit 7 --trim3HP --rOQ -k -p 5,20 -t 20,4 -i 280,100
@SQ SN:1 LN:249250621 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:2 LN:243199373 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:3 LN:198022430 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:4 LN:191154276 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:5 LN:180915260 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:6 LN:171115067 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:7 LN:159138663 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:8 LN:146364022 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:9 LN:141213431 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:10 LN:135534747 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:11 LN:135006516 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:12 LN:133851895 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:13 LN:115169878 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:14 LN:107349540 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:15 LN:102531392 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:16 LN:90354753 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:17 LN:81195210 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:18 LN:78077248 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:19 LN:59128983 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:20 LN:63025520 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:21 LN:48129895 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:22 LN:51304566 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:X LN:155270560 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:Y LN:59373566 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:MT LN:16569 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000207.1 LN:4262 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000226.1 LN:15008 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000229.1 LN:19913 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000231.1 LN:27386 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000210.1 LN:27682 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000239.1 LN:33824 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000235.1 LN:34474 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000201.1 LN:36148 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000247.1 LN:36422 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000245.1 LN:36651 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000197.1 LN:37175 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000203.1 LN:37498 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000246.1 LN:38154 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000249.1 LN:38502 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000196.1 LN:38914 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000248.1 LN:39786 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000244.1 LN:39929 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000238.1 LN:39939 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000202.1 LN:40103 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000234.1 LN:40531 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000232.1 LN:40652 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000206.1 LN:41001 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000240.1 LN:41933 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000236.1 LN:41934 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000241.1 LN:42152 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000243.1 LN:43341 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000242.1 LN:43523 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000230.1 LN:43691 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000237.1 LN:45867 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000233.1 LN:45941 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000204.1 LN:81310 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000198.1 LN:90085 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000208.1 LN:92689 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000191.1 LN:106433 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000227.1 LN:128374 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000228.1 LN:129120 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000214.1 LN:137718 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000221.1 LN:155397 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000209.1 LN:159169 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000218.1 LN:161147 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000220.1 LN:161802 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000213.1 LN:164239 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000211.1 LN:166566 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000199.1 LN:169874 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000217.1 LN:172149 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000216.1 LN:172294 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000215.1 LN:172545 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000205.1 LN:174588 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000219.1 LN:179198 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000224.1 LN:179693 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000223.1 LN:180455 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000195.1 LN:182896 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000212.1 LN:186858 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000222.1 LN:186861 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000200.1 LN:187035 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000193.1 LN:189789 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000194.1 LN:191469 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000225.1 LN:211173 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:GL000192.1 LN:547496 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:NC_007605 LN:171823 AS:human_g1k_v37_decoy_iupac.ndx
@SQ SN:hs37d5 LN:35477943 AS:human_g1k_v37_decoy_iupac.ndx
@RG ID:HKL2TBGX5-2-708-501 CN:ATGC DS:i7_sequence=TAATGCGC|sample_type=XTumour|library_id=KapD-20180607-0002|flowcell_id=HKL2TBGX5|sample_id=20180430-0002|nucleic_type=DNA|capture_type=IdtXPC|preservation_type=Fresh|library_type=KapDH|lane=2|run_id=180611_NB501489_0202_AHKL2TBGX5|cohort_id=NBCF_Riccardo_Paul|instrument_id=NB501489|i5_sequence=AGGCTATA|run_start_date=2018-06-11|capture_id=IDTX-20180607-0001|portion_id=A|subject_id=MDA-MB-231 DT:2018-06-11 LB:KapD-20180607-0002 PL:ILLUMINA PM:NB501489 PU:HKL2TBGX5_2 SM:20180430-0002
@PG ID:novoalign.1 PN:novoalign VN:V3.08.02 CL:novoalign -o SAM "@RG\tID:HKL2TBGX5-2-708-501\tCN:ATGC\tDS:i7_sequence=TAATGCGC|sample_type=XTumour|library_id=KapD-20180607-0002|flowcell_id=HKL2TBGX5|sample_id=20180430-0002|nucleic_type=DNA|capture_type=IdtXPC|preservation_type=Fresh|library_type=KapDH|lane=2|run_id=180611_NB501489_0202_AHKL2TBGX5|cohort_id=NBCF_Riccardo_Paul|instrument_id=NB501489|i5_sequence=AGGCTATA|run_start_date=2018-06-11|capture_id=IDTX-20180607-0001|portion_id=A|subject_id=MDA-MB-231\tDT:2018-06-11\tLB:KapD-20180607-0002\tPL:ILLUMINA\tPM:NB501489\tPU:HKL2TBGX5_2\tSM:20180430-0002" -c 12 -r All 1 -d /work2/ATG_datasets/clinical-data/v2/reference/human_g1k_v37_decoy_iupac.ndx -f /work/ATG/clinical/fastq/180611_NB501489_0202_AHKL2TBGX5/ATG/HKL2TBGX5-2-708-501_S10_L002_R1_001.fastq.gz /work/ATG/clinical/fastq/180611_NB501489_0202_AHKL2TBGX5/ATG/HKL2TBGX5-2-708-501_S10_L002_R2_001.fastq.gz -F STDFQ --hlimit 7 --trim3HP --rOQ -k -p 5,20 -t 20,4 -i 280,100
@RG ID:HKL2TBGX5-1-708-501 CN:ATGC DS:i7_sequence=TAATGCGC|sample_type=XTumour|library_id=KapD-20180607-0002|flowcell_id=HKL2TBGX5|sample_id=20180430-0002|nucleic_type=DNA|capture_type=IdtXPC|preservation_type=Fresh|library_type=KapDH|lane=1|run_id=180611_NB501489_0202_AHKL2TBGX5|cohort_id=NBCF_Riccardo_Paul|instrument_id=NB501489|i5_sequence=AGGCTATA|run_start_date=2018-06-11|capture_id=IDTX-20180607-0001|portion_id=A|subject_id=MDA-MB-231 DT:2018-06-11 LB:KapD-20180607-0002 PL:ILLUMINA PM:NB501489 PU:HKL2TBGX5_1 SM:20180430-0002
@PG ID:novoalign.2 PN:novoalign VN:V3.08.02 CL:novoalign -o SAM "@RG\tID:HKL2TBGX5-1-708-501\tCN:ATGC\tDS:i7_sequence=TAATGCGC|sample_type=XTumour|library_id=KapD-20180607-0002|flowcell_id=HKL2TBGX5|sample_id=20180430-0002|nucleic_type=DNA|capture_type=IdtXPC|preservation_type=Fresh|library_type=KapDH|lane=1|run_id=180611_NB501489_0202_AHKL2TBGX5|cohort_id=NBCF_Riccardo_Paul|instrument_id=NB501489|i5_sequence=AGGCTATA|run_start_date=2018-06-11|capture_id=IDTX-20180607-0001|portion_id=A|subject_id=MDA-MB-231\tDT:2018-06-11\tLB:KapD-20180607-0002\tPL:ILLUMINA\tPM:NB501489\tPU:HKL2TBGX5_1\tSM:20180430-0002" -c 12 -r All 1 -d /work2/ATG_datasets/clinical-data/v2/reference/human_g1k_v37_decoy_iupac.ndx -f /work/ATG/clinical/fastq/180611_NB501489_0202_AHKL2TBGX5/ATG/HKL2TBGX5-1-708-501_S3_L001_R1_001.fastq.gz /work/ATG/clinical/fastq/180611_NB501489_0202_AHKL2TBGX5/ATG/HKL2TBGX5-1-708-501_S3_L001_R2_001.fastq.gz -F STDFQ --hlimit 7 --trim3HP --rOQ -k -p 5,20 -t 20,4 -i 280,100
@RG ID:HKL2TBGX5-3-708-501 CN:ATGC DS:i7_sequence=TAATGCGC|sample_type=XTumour|library_id=KapD-20180607-0002|flowcell_id=HKL2TBGX5|sample_id=20180430-0002|nucleic_type=DNA|capture_type=IdtXPC|preservation_type=Fresh|library_type=KapDH|lane=3|run_id=180611_NB501489_0202_AHKL2TBGX5|cohort_id=NBCF_Riccardo_Paul|instrument_id=NB501489|i5_sequence=AGGCTATA|run_start_date=2018-06-11|capture_id=IDTX-20180607-0001|portion_id=A|subject_id=MDA-MB-231 DT:2018-06-11 LB:KapD-20180607-0002 PL:ILLUMINA PM:NB501489 PU:HKL2TBGX5_3 SM:20180430-0002
@PG ID:novoalign.3 PN:novoalign VN:V3.08.02 CL:novoalign -o SAM "@RG\tID:HKL2TBGX5-3-708-501\tCN:ATGC\tDS:i7_sequence=TAATGCGC|sample_type=XTumour|library_id=KapD-20180607-0002|flowcell_id=HKL2TBGX5|sample_id=20180430-0002|nucleic_type=DNA|capture_type=IdtXPC|preservation_type=Fresh|library_type=KapDH|lane=3|run_id=180611_NB501489_0202_AHKL2TBGX5|cohort_id=NBCF_Riccardo_Paul|instrument_id=NB501489|i5_sequence=AGGCTATA|run_start_date=2018-06-11|capture_id=IDTX-20180607-0001|portion_id=A|subject_id=MDA-MB-231\tDT:2018-06-11\tLB:KapD-20180607-0002\tPL:ILLUMINA\tPM:NB501489\tPU:HKL2TBGX5_3\tSM:20180430-0002" -c 12 -r All 1 -d /work2/ATG_datasets/clinical-data/v2/reference/human_g1k_v37_decoy_iupac.ndx -f /work/ATG/clinical/fastq/180611_NB501489_0202_AHKL2TBGX5/ATG/HKL2TBGX5-3-708-501_S17_L003_R1_001.fastq.gz /work/ATG/clinical/fastq/180611_NB501489_0202_AHKL2TBGX5/ATG/HKL2TBGX5-3-708-501_S17_L003_R2_001.fastq.gz -F STDFQ --hlimit 7 --trim3HP --rOQ -k -p 5,20 -t 20,4 -i 280,100*
Hello,
I cannot solve your problem. But you could have a look at
samtools depth
as in alternative.fin swimmer
Hello p2.leo,
do you need the
bam-readcount
output for the VarScan2fpfilter
? If not, what do you plan to do with the output? Depending on that, there might be other tools that can do the job and are still being maintained.Thanks for the replies, Yes this is a funny one I wanted to use this program because the output in integrated with pVACtools ... and the output is quite verbose.
I think from these suggestions my best bet may be to just try and to the pileup with more standard tools ,as you suggest, and craft a similar output.
Thanks for the suggestions Best Paul
The most common reason for bam-readcount crashes/core dumps are a mismatch between reference fasta and bam file. Are you sure that none of of your reads goes past the end of the chromosome sizes defined in your fasta?