ANGSD: Analysis of next generation Sequencing Data

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<classdiagram type="dir:LR">
<classdiagram type="dir:LR">
  [Single BAM file{bg:orange}]->[Sequence data|Random base (-doFasta 1);Consensus base (-doFasta 2)]
  [Single BAM file{bg:orange}]->[Sequence data|Random base (-doFasta 1);Consensus base (-doFasta 2);Highest EBD]
[sequence data]->doFasta[fasta file{bg:blue}]
[sequence data]->doFasta[fasta file{bg:blue}]
  </classdiagram>
  </classdiagram>

Revision as of 14:20, 2 December 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);Highest EBD]

[sequence data]->doFasta[fasta file{bg:blue}]

</classdiagram>

This can be used as input for the ANGSD analysis:

  1. Error estimation
  2. ABBA-BABA


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