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Extract from a .bam file the reads that map to specific area in the reference genome

Dear all,

I have a reference that looks like this

AAAAATTTTTTTNNNNNNGGGGGGCCCCCC

and on this reference reads have been mapped

ref:               AAAAATTTTTTT-**NNNNNN-**GGGGGGCCCCCC

read1:             AAAAATTTTTTT-**ATGCAA**-GGGGGGCCCCCC
....
read2:             AAAAATTTTTTT-**CCGTAA**-GGGGGGCCCCCC

and then I extracted the bam file. I want to extract the sequences that have been mapped the reference in the positions 13:18. For this I have used the following command

samtools view -b -h file.sorted.bam Reference_barcodes:13-18 > test.bam

Now I want from this bam to isolate in a fasta file the exact sequences that have mapped the 13-18 and my data to look like this

ref:  NNNNNN
read1:ATGCAA 
read2:CCGTAA
alignment sequences bam extract
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updated by Prakki Rama Prakki Rama • written by LDT • LDT

samtools faidx can extract regions of a fasta file

samtools faidx chrom:start-end

http://www.htslib.org/doc/samtools-faidx.html

the extracted file will be also in FASTA so a bit of postprocessing may be needed to fix that (see the concept "linearize FASTA file")

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written by Istvan Albert Istvan Albert

2 answers

Finally only this gives the answer I want:

library(GenomicAlignments)
stack <- stackStringsFromBam("test_4_seqs_sorted.bam", param=GRanges("Reference_barcodes:54-78"))
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written by LDT • LDT

This is exactly, what I was looking for, Thanks for the post. To save the stack object, I used the following command in R.

> write.table(stack, Aligned_Reads_at_Region_Of_Interest.txt, quote = FALSE, col.names = F, row.names = F)
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written by Prakki Rama Prakki Rama

I wrote sam4weblogo see; Sequence Logo For Different Alleles Or Generated From Sam/Bam

$ samtools faidx src/test/resources/rotavirus_rf.fa "RF05:100-200" | grep -v '^>' | tr -d '\n' && echo " REF" && java -jar dist/sam4weblogo.jar --interval "RF05:100-200" -F tabular src/test/resources/S1.bam 
AACTAGGAGCAAATGATGAATGGAGGCCAGCACCAATGACAAAATATAAAGGATGGTGTTTAGATTGTTGTCAATATACAAATTTGACATATTGCAGAGGG REF
100       110       120       130       140       150       160       170       180       190         RF05:100-200
AACTAGGAGCAAATGATGCATGGAGGCCAGCAC-------------------------------------------------------------------- RF05_63_612_2:0:0_0:0:0_16/1 (99) S1
CACTAGGAGCAAATGATGACTGGAGGCCAGCACCA------------------------------------------------------------------ RF05_65_581_3:0:0_3:0:0_22/2 (163) S1
AACTAGGAGCAAATGATGAATGGAGGCCAGCACCAAT---------------------------------------------------------------- RF05_67_593_0:0:0_1:0:0_19/1 (99) S1
AACTAGGAGCAAATGATGAATGGAGGCCAGCACCAATGACAA----------------------------------------------------------- RF05_72_589_0:0:0_2:0:0_1c/1 (99) S1
AACTAGGAGCAAATGATGAATGGAGGCCAGCACGAATGACAACA--------------------------------------------------------- RF05_74_640_2:0:0_1:0:0_3e/1 (99) S1
AACTAGGAGCAAATGATGAATGGAGGCCAGCACCAATGACAAAAAA------------------------------------------------------- RF05_76_583_1:0:0_5:0:0_27/1 (99) S1
----AGGAGCAAATGATGAATGGAGGCCAGCACCAATGACAAAATATCAAGGATGGTGTTTAGATTGTTGTCAA--------------------------- RF05_104_625_1:0:0_0:0:0_24/2 (163) S1
---------------ATGAATGGAGGCCAGCACCAATGACAAAATATAAAGGATGGTGTTTAGATTGTTGTCAATATACAAATTT---------------- RF05_115_585_0:0:0_0:0:0_1/1 (99) S1
--------------------------------CCAATGACAACATATAAAGGATGGTGTTTAGATTGTTGTCAATATACAAATTTGACATATTGCAGAGGG RF05_132_611_1:0:0_2:0:0_3f/2 (163) S1
---------------------------------CCATGACAAAATAAAAAGGATGGTGTTTAGATTGTTGTCAATATACAAATTTGACATATTGCAGAGGG RF05_133_555_2:0:0_0:0:0_2e/1 (99) S1
-------------------------------------GACAAAATATAAAGGATGGTGTTTAGATTGTTGTCAAAATACAAATTTGACATATTGCAGAGGG RF05_137_611_1:0:0_1:0:0_4b/1 (99) S1
---------------------------------------CAAAATATAAAGGATGGTGTTTAGATTGTAGTCAATATACAAATTTGACATATTGCAGAGGG RF05_139_728_1:0:0_0:0:0_12/1 (99) S1
-------------------------------------------ATATAAAGGATGGTGTTTAGATTGTTGTCAATATACAAATTTGACATATTGCAGAGGT RF05_143_731_1:0:0_4:0:0_1e/1 (99) S1
-------------------------------------------------AGGATGGTGTTTAGATTGTTGTCAATATACAAATTTGACATAATGCAGCGGG RF05_149_654_2:0:0_2:0:0_48/1 (99) S1
----------------------------------------------------ATGGTGTTTAGATTGTTGTCAATATACAAATTTGACATATTGCAGAGGG RF05_152_584_0:0:0_0:0:0_2b/1 (99) S1
-----------------------------------------------------------TTAGATTGTTGTCAATATACAAATTAGACATATTGCAGAGGG RF05_159_603_1:0:0_0:0:0_3b/2 (163) S1
---------------------------------------------------------------ATTGTTGTCAATATACAAATTTGACATATTGCAGAGGG RF05_163_622_0:0:0_1:0:0_4d/1 (99) S1
----------------------------------------------------------------------TCAATATACAAATTTGACATATTGCAGAGGG RF05_170_620_0:0:0_1:0:0_45/1 (99) S1
---------------------------------------------------------------------------ATACAAATTTGACATATTGCAGAGGG RF05_175_728_1:0:0_0:0:0_17/1 (99) S1
-------------------------------------------------------------------------------AAATTTGACATATTGCAGAGGG RF05_179_662_3:0:0_0:0:0_13/2 (163) S1
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written by Pierre Lindenbaum Pierre Lindenbaum

Dear Pierre,

We have tried this, and it does NOT work as we want. I guess you are very busy to have a look. Here is a link with only four sequences of our data if you have time https://1drv.ms/u/s!ArOzUuixE-mggfskZPX_Y0cpyQH4RA?e=I3vFzc. It's straightforward what we want to do. We want to extract the part of the sequences that map between 54-78 in the reference.

This is the result that we get from your program

enter image description here

and these are the sequences that we need:

TACGGTTATATTGACAGACCGAGGG
TAATTCGAAACCATAAGGCTCGCAA
TACGGTTATATTGACAGACCGAGGG
TAATTCGAAACCATAAGGCTCGCAA

I isolated them using R. It works for sequences but not for 20 million in R.

I guess you are very busy, so my apologies TACGGTTATATTGACAGACCGAGGG

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written by LDT • LDT

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