Recover short reads from BAM files that were mapped to genes you are interested in. It is possible to work with a single gene call, or a bunch of them. Similarly, you can get short reads from a single BAM file, or from many of them.
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This program finds all short reads from (bam-file) that align to a specific gene and returns them as a short-reads-fasta.
If instead you want to extract these short reads from a FASTQ file, get your gene sequence with anvi-export-gene-calls and take a look at anvi-search-primers.
To run this program, just specify the bam files you’re looking at and the gene of interest. To do this, name the contigs-db containing your gene and the gene caller ID (either directly through the parameter --gene-caller-id or through a file). Here is an example:
anvi-get-short-reads-mapping-to-a-gene -c contigs-db \ --gene-caller-id 2 \ -i BAM_FILE_ONE.bam \ -O GENE_2_MATCHES
The output of this will be a file named GENE_2_MATCHES_BAM_FILE_ONE.fasta (prefix + bam file name), which will contain all short reads that aligned to gene 2 with more than 100 nucleotides.
You also have the option to provide multiple bam files; in this case, there will be an output files for each bam file inputted.
Additionally, you can change the number of nucleotides required to map to a short read for it to be reported. For example, to expand your search, you could decrease the required mapping length to 50 nucleotides, as so:
anvi-get-short-reads-mapping-to-a-gene -c contigs-db \ --gene-caller-id 2 \ -i Bam_file_one.bam Bam_file_two.bam \ -O GENE_2_MATCHES \ --leeway 50
Edit this file to update this information.
The following is the list of parameters and their descriptions in the latest version of anvi-get-short-reads-mapping-to-a-gene.
The code that generates this web page ensures that this information is the latest available in 9-dev (eunice). Which means, in some cases the information in this section (generated automatically) might be more comprehensive or up-to-date compared to the descriptions above (written by humans).
-c, --contigs-db CONTIGS_DB required-i, --input-files INPUT_BAM(S) required--gene-caller-id GENE_CALLER_ID--genes-of-interest FILE--leeway LEEWAY_NTS100-O, --output-file-prefix FILENAME_PREFIXAre you aware of resources that may help users better understand the utility of this program? Please feel free to edit this file on GitHub. If you are not sure how to do that, find the __resources__ tag in this file to see an example.