Few months ago I did some SNP analyses using mapped sam files. I compared two samples say prep2 and prep3, using samtools and bcftools. Following are the commands I used to investigate all variations including INDELS with a coverage cut-off of 100 and mapping quality cutoff 20. You could grep INDELS from the 'Qualt20DP100_flt.vcf.passed' file and check for position.

 nohup samtools mpileup -t DP -uv -Q 15 -f /media/Storage/Analysis/mm9/genome.fa /media/Storage/Data/bam/prep2.bam /media/Storage/Data/bam/prep3.bam -o prep2-3_mpileup.vcf &       
 bcftools call -mv prep2-3_mpileup.vcf > Only_variations.vcf &
 bcftools filter -s LowQual -e '%QUAL<20 || DP<100' Only_variations.vcf > Qualt20DP100_flt.vcf
 grep -P "\tPASS\t" Qualt20DP100_flt.vcf > Qualt20DP100_flt.vcf.passed

I hope it helps.

Cheers, Rahul

The BBMap package can produce a histogram of such events, like this:

reformat.sh in=mapped.sam indelhist=indelhist.txt

That will show how many insertions and deletions there are of any specific length. You can also produce this directly from BBMap during mapping.

using bioalcidae: http://lindenb.github.io/jvarkit/BioAlcidae.html with the following script:

while(iter.hasNext()) { 
    var rec=iter.next();
    if(rec.getReadUnmappedFlag()) continue;
    var ref= rec.getAlignmentStart();
    var cigarElements =  rec.getCigar().getCigarElements();
    for(var i=0;i< cigarElements.size();i++)
        {
        var ce = cigarElements.get(i);
        var op = ce.getOperator();
        if( op.isIndelOrSkippedRegion()  && ce.getLength()<2)
            {
            out.println(rec.getContig()+"\t"+ref+"\t"+op.name()+"\t"+ce.getLength());
            }
        if( op.consumesReferenceBases())
            {
            ref += ce.getLength();
            }
        }
    }

and pipe in sort | uniq:

 java -jar dist/bioalcidae.jar -f script.js in.bam | sort | uniq