ANGSD: Analysis of next generation Sequencing Data
Latest tar.gz version is (0.938/0.939 on github), see Change_log for changes, and download it here.
Fasta: Difference between revisions
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EBD_A = \sum_{b_i=A}^N (phred(mapq_i)*phred(qscore_i)),\qquad phred(q) =10^{-q/10} | EBD_A = \sum_{b_i=A}^N (phred(mapq_i)*phred(qscore_i)),\qquad phred(q) =10^{-q/10} | ||
</math> | </math> | ||
For four bases we have 4 different EBD, each EBD is the product of the mapping quality and scores for the base under consideration. | For four bases we have 4 different EBD, each EBD is the product of the mapping quality and scores for the base under consideration. | ||
Revision as of 17:38, 28 November 2013
Available from version 0.559+.
This option creates a fasta.gz file from a sequencing data file (BAM file). The function uses genome information in the BAM header to determine the length and chromosome names. For the sites without data an "N" is written.
<classdiagram type="dir:LR">
[Single BAM file{bg:orange}]->[Sequence data|Random base (-doFasta 1);Consensus base (-doFasta 2)]
[sequence data]->doFasta[fasta file{bg:blue}]
</classdiagram>
Brief Overview
> ./angsd -doFasta -------------- nalysisFasta.cpp: -doFasta 0 1: use a random base 2: use the most common base (needs -doCounts 1) 3: use the base with highest ebd (under development) -minQ 13 (remove bases with qscore<minQ) -basesPerLine 50 (Number of bases perline in output file)
This function will dump a fasta file, the full header information from the SAM/BAM file will be used. This means that a fasta will be generated for ALL entries in the header even if '-r/-rf -filter' is used.
The EBD is the effective base depth, as defined by [1]:
For four bases we have 4 different EBD, each EBD is the product of the mapping quality and scores for the base under consideration.
Options
- -doFasta 1
- sample a random base at each position.
- -doFasta 2
- use the most common base. In the case of ties a random base is chosen among the bases with the same maximum counts. The "-doCounts 1" options for allele counts is needed in order to determine the most common base.
- -minQ [INT]
minimum base quality score.
Output
Output is a fasta file, a normal looking fast file. Nothing special about this. For -doFasta 1, sometimes its big letters sometime small letters. This is due to the results being copied directly from the sequencing data. So small/big letters correspond to which strand for the original data. For the consensus fasta all letters are capital letters.
Example
Create a fasta file bases from a random samples of bases.
./angsd -i smallNA07056.mapped.ILLUMINA.bwa.CEU.low_coverage.20111114.bam -doFasta 1