aligned seq > 1 times and skipping reads because of seed mismatches

[carolW]

Should I use --no-1mm-upfront parameter with bowtie2 to allow exactly 1 vs 2 mismatches? If so how to use it?

Does anyone know if I use 1 as cutoff for MAPQ to discriminate the exactly 1 time aligned vs >1 time aligned reads?

Look forward to your reply,

[dpryan]

The MAPQ values don't directly correspond to what the summary describes as ambiguously mapped (the MAPQ value is more reliable). I don't recall exactly how the summary information is determined, one would have to go through the code to check (it's not documented anywhere).

[carolW]

I use bowtie 2.

Should the MAPQ value should be strictly > 1?

I counted with awk the number of reads based of the cutoff 1
awk '{print $5}' myfile.sam | awk '{if ($1 <1) print $1}' | wc -l

and got

> 1
number of reads 1441692
>= 1
number of reads 6878007
< 1
number of reads 3302748

but these values don't match the stats generated by bowtie2 (see below). Any cutoff for MAPQ should give the numbers below for unambigous aligned exactly 1 time and ambigous aligned > 1 time.

1095004 (10.76%) aligned exactly 1 time
5920439 (58.15%) aligned >1 times

[dpryan]

Have a look at the MAPQ scores. If this is bowtie1, then I think it used 255 for unique (though I haven't used it in long enough that I don't remember anymore). If this is bowtie2, then just filter by some meaningful MAPQ threshold (10 is likely reasonable, but anything >1 should work).

[carolW]

If they have to be ambigous, that's fine. I just need to separate the ambigous from unambigous to generate different outputs. As I have many reads, I need an information in the sam file based on which I could separate the 2 different types of reads? Is there any such info that I can find in the sam file generated from bowtie? Should I have used a specific bowtie parameter to include this info in the sam file?

[dpryan]

There's generally nothing that you can do to reduce the rate of ambiguously mapping reads, they're likely just ambiguous. You might just take a look in IGV or some other browser and see where some of these align. That'll be more informative than speculating.

[carolW]

Now I consider min of 20b long and don't get warnings any more but the number of >1 aligned reads is >50%. Do they correspond to ambigous or repeated regions or genes or can I do any thing to reduce this rate?

How to recognize the ambigous from unambigous mapped reads in the sam file generated from bowtie? ambigous means repeated regions or genes.

3165309 (31.09%) aligned 0 times
1095004 (10.76%) aligned exactly 1 time
5920439 (58.15%) aligned >1 times

[dpryan]

I don't think bowtie will handle anything <12, though I wouldn't normally bother with anything <20, since it's unlikely to map uniquely.

BTW, are you the same Carol that I just replied to on the samtools email list?

[carolW]

you were right!

Which min length of reads should I consider and discard the rest?

[dpryan]

They examples you posted appear correct, but perhaps it's complaining about a line that you didn't post. You could just use

 awk '{if(length($0) <= 2) print NR, $0}' file_with_reads

to see if there actually are lines with 1 or 2 bases. I'm guessing that the "aligned > 1 times" issue is due to the reads being so short (21 bases is really short). Perhaps blast a couple to confirm this.

[carolW]

It looks like the reads are just incorrectly formatted. It's seeing some of them as being only 1 or 2 bases, which would seem unlikely.

Thanks for your reply.

How do you see if some them are only 1 or 2 bases?

Are they not in a raw seq letter formats and if not, how should they be as raw seq format accepted by bowtie with -r parameter?

Cheers,

[dpryan]

It looks like the reads are just incorrectly formatted. It's seeing some of them as being only 1 or 2 bases, which would seem unlikely.

[carolW]

Hi
1-
I have a higher rate than 50% of aligned seq > 1 times with bowtie2 with my data set. Is this fine or should I do any thing to avoid? I get the high rate whether I allow 1 or 2 mismatches and the rest of parameters are by default. as the reads are in raw format, I used -r with bowtie

781 reads; of these:
781 (100.00%) were unpaired; of these:
221 (28.30%) aligned 0 times
80 (10.24%) aligned exactly 1 time
480 (61.46%) aligned >1 times
71.70% overall alignment rate

reads format
TTAAGTTATTAAGGGCGCACG
AGATCGGAAGAGCGGTTCAG
TTAAGTTATTAAGGGCGCAC
TTAAGTTATTAAGGGCGCAC
GATTGTAGATGCCACGCAAA

2- The above data set is a sample (780 reads) of my complete data set. When I use bowtie with the whole data set, I get several warnings as follows: Where does the problem come from and what is the solution? I have checked some of these reads for which I get warnings and they have the same length as others (see reads format above). I get the same warnings if I use -N1 or -N2.

Warning: skipping read '10149870' because length (1) <= # seed mismatches (1)
Warning: skipping read '10149870' because it was < 2 characters long

Look forward to your reply,

Carol