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Bismark is written in Perl and is executed from the command line. To install Bismark simply copy the bismark_v0.X.Y.tar.gz file into a Bismark installation folder and extract all files by typing:
tar xzf bismark_v0.X.Y.tar.gzBismark requires a working of Perl and Bowtie 2 (or HISAT2) to be installed on your machine. Bismark will assume that the Bowtie 2/ HISAT2 executable is in your path unless the path to Bowtie/ HISAT2 is specified manually with:
--path_to_bowtie2 </../../bowtie2> or
--path_to_hisat2 </../../hisat2>
Bismark holds the reference genome in memory, and in addition to that runs up to four parallel instances of Bowtie 2. The memory usage is dependent on the size of the reference genome. For a large eukaryotic genome (human or mouse) we experienced a typical memory usage of around 12GB. We thus recommend running Bismark on a machine with 5 CPU cores and at least 12 GB of RAM. The memory requirements of Bowtie 2 are somewhat larger (possibly to allow gapped alignments). When running Bismark using Bowtie 2 we therefore recommend a system with at least 5 cores and > 16GB of RAM.
Alignment speed depends largely on the read length and alignment parameters used. Allowing many mismatches and using a short seed length tends to be fairly slow.
A test BS-Seq data set is available for download from the Bismark project or Github pages. It contains 10,000 single- end shotgun BS reads from human ES cells in FastQ format (from SRR020138, Lister et al., 2009; trimmed to 50 bp; base call qualities are Sanger encoded Phred values (Phred33)).
Please note that this has been run with a fairly early version however I wouldn't expect the numbers to change much.
Running Bismark with the following options:
bismark --score-min L,0,-0.6 /data/public/Genomes/Human/GRCh37/ test_data.fastqShould result in this mapping report:
Bismark report for: test_data.fastq (version: v0.7.8)
Option '--directional' specified: alignments to complementary strands will be ignored (i.e. not performed!)
Bowtie2 was run against the bisulfite genome of /data/public/Genomes/Human/GRCh37/ with the specified options: -q -- score-min L,0,-0.6 --ignore-quals
Final Alignment report
======================
Sequences analysed in total: 10000
Number of alignments with a unique best hit from the different alignments: 5658 Mapping efficiency: 56.6%
Sequences with no alignments under any condition: 2893
Sequences did not map uniquely: 1449
Sequences which were discarded because genomic sequence could not be extracted: 0
Number of alignments to (merely theoretical) complementary strands being rejected in total: 0
Number of sequences with unique best (first) alignment came from the bowtie output:
CT/CT: 2820 ((converted) top strand)
CT/GA: 2838 ((converted) bottom strand)
GA/CT: 0 (complementary to (converted) top strand)
GA/GA: 0 (complementary to (converted) bottom strand)
Final Cytosine Methylation Report
=================================
Total number of C's analysed: 45985
Total methylated C's in CpG context: 1550
Total methylated C's in CHG context: 34
Total methylated C's in CHH context: 126
Total C to T conversions in CpG context: 844
Total C to T conversions in CHG context: 11368
Total C to T conversions in CHH context:32063
C methylated in CpG context: 64.7%
C methylated in CHG context: 0.3%
C methylated in CHH context: 0.4%