Provided by: dindel_1.01-wu1-3+dfsg-1build1_amd64
NAME
dindel - finds of insertions and deletions from short nucleotide sequences
DESCRIPTION
[Required] : --ref arg fasta reference sequence (should be indexed with .fai file) --outputFile arg file-prefix for output results [Required] Program option: --analysis arg (=indels) Analysis type: getCIGARindels: Extract indels from CIGARs of mapped reads, and infer library insert size distributions indels: infer indels realignCandidates: Realign/reposition candidates in candidate file [Required] BAM input. Choose one of the following: --bamFile arg read alignment file (should be indexed) --bamFiles arg file containing filepaths for BAMs to be jointly analysed (not possible for --analysis==indels [Required for analysis == getCIGARindels]: Region to be considered for extraction of candidate indels.: --region arg region to be analysed in format start-end, eg. 1000-2000 --tid arg target sequence (eg 'X') [Required for analysis == indels]: --varFile arg file with candidate variants to be tested. --varFileIsOneBased coordinates in varFile are one-based Output options: --outputRealignedBAM output BAM file with realigned reads --processRealignedBAM arg ABSOLUTE path to script to process realigned BAM file --quiet quiet output parameters for analysis==indels option: --doDiploid analyze data assuming a diploid sequence --doPooled estimate haplotype frequencies using Bayesian EM algorithm. May be applied to single individual and pools. General algorithm parameters: --faster use faster but less accurate ungapped read-haplotype alignment model --filterHaplotypes prefilter haplotypes based on coverage --flankRefSeq arg (=2) #bases of reference sequence of indel region --flankMaxMismatch arg (=2) max number of mismatches in indel region --priorSNP arg (=0.001) prior probability of a SNP site --priorIndel arg (=0.0001) prior probability of a detected indel not being a sequencing error --width arg (=60) number of bases to left and right of indel --maxHap arg (=8) maximum number of haplotypes in likelihood computation --maxRead arg (=10000) maximum number of reads in likelihood computation --mapQualThreshold arg (=0.98999999999999999) lower limit for read mapping quality --capMapQualThreshold arg (=100) upper limit for read mapping quality in observationmodel_old (phred units) --capMapQualFast arg (=45) cap mapping quality in alignment using fast ungapped method (WARNING: setting it too high (>50) might result in significant overcalling!) --skipMaxHap arg (=200) skip computation if number of haplotypes exceeds this number --minReadOverlap arg (=20) minimum overlap between read and haplotype --maxReadLength arg (=500) maximum length of reads --minCount arg (=1) minimum number of WS observations of indel --maxHapReadProd arg (=10000000) skip if product of number of reads and haplotypes exceeds this value --changeINStoN change sequence of inserted sequence to 'N', so that no penalty is incurred if a read mismatches the inserted sequence parameters for --pooled option: --bayesa0 arg (=0.001) Dirichlet a0 parameter haplotype frequency prior --bayesType arg (=singlevariant) Bayesian EM program type (all or singlevariant or priorpersite) General algorithm filtering options: --checkAllCIGARs arg (=1) include all indels at the position of the call site --filterReadAux arg match string for exclusion of reads based on auxilary information Observation model parameters: --pError arg (=0.00050000000000000001) probability of a read indel --pMut arg (=1.0000000000000001e-05) probability of a mutation in the read --maxLengthIndel arg (=5) maximum length of a _sequencing error_ indel in read [not for --faster option] Library options: --libFile arg file with library insert histograms (as generated by --analysis getCIGARindels) Misc results analysis options: --compareReadHap compare likelihood differences in reads against haplotypes --compareReadHapThreshold arg (=0.5) difference threshold for viewing --showEmpirical show empirical distribution over nucleotides --showCandHap show candidate haplotypes for fast method --showHapAlignments show for each haplotype which reads map to it --showReads show reads --inferenceMethod arg (=empirical) inference method --opl output likelihoods for every read and haplotype [Required] : --ref arg fasta reference sequence (should be indexed with .fai file) --outputFile arg file-prefix for output results [Required] Program option: --analysis arg (=indels) Analysis type: getCIGARindels: Extract indels from CIGARs of mapped reads, and infer library insert size distributions indels: infer indels realignCandidates: Realign/reposition candidates in candidate file [Required] BAM input. Choose one of the following: --bamFile arg read alignment file (should be indexed) --bamFiles arg file containing filepaths for BAMs to be jointly analysed (not possible for --analysis==indels [Required for analysis == getCIGARindels]: Region to be considered for extraction of candidate indels.: --region arg region to be analysed in format start-end, eg. 1000-2000 --tid arg target sequence (eg 'X') [Required for analysis == indels]: --varFile arg file with candidate variants to be tested. --varFileIsOneBased coordinates in varFile are one-based Output options: --outputRealignedBAM output BAM file with realigned reads --processRealignedBAM arg ABSOLUTE path to script to process realigned BAM file --quiet quiet output parameters for analysis==indels option: --doDiploid analyze data assuming a diploid sequence --doPooled estimate haplotype frequencies using Bayesian EM algorithm. May be applied to single individual and pools. General algorithm parameters: --faster use faster but less accurate ungapped read-haplotype alignment model --filterHaplotypes prefilter haplotypes based on coverage --flankRefSeq arg (=2) #bases of reference sequence of indel region --flankMaxMismatch arg (=2) max number of mismatches in indel region --priorSNP arg (=0.001) prior probability of a SNP site --priorIndel arg (=0.0001) prior probability of a detected indel not being a sequencing error --width arg (=60) number of bases to left and right of indel --maxHap arg (=8) maximum number of haplotypes in likelihood computation --maxRead arg (=10000) maximum number of reads in likelihood computation --mapQualThreshold arg (=0.98999999999999999) lower limit for read mapping quality --capMapQualThreshold arg (=100) upper limit for read mapping quality in observationmodel_old (phred units) --capMapQualFast arg (=45) cap mapping quality in alignment using fast ungapped method (WARNING: setting it too high (>50) might result in significant overcalling!) --skipMaxHap arg (=200) skip computation if number of haplotypes exceeds this number --minReadOverlap arg (=20) minimum overlap between read and haplotype --maxReadLength arg (=500) maximum length of reads --minCount arg (=1) minimum number of WS observations of indel --maxHapReadProd arg (=10000000) skip if product of number of reads and haplotypes exceeds this value --changeINStoN change sequence of inserted sequence to 'N', so that no penalty is incurred if a read mismatches the inserted sequence parameters for --pooled option: --bayesa0 arg (=0.001) Dirichlet a0 parameter haplotype frequency prior --bayesType arg (=singlevariant) Bayesian EM program type (all or singlevariant or priorpersite) General algorithm filtering options: --checkAllCIGARs arg (=1) include all indels at the position of the call site --filterReadAux arg match string for exclusion of reads based on auxilary information Observation model parameters: --pError arg (=0.00050000000000000001) probability of a read indel --pMut arg (=1.0000000000000001e-05) probability of a mutation in the read --maxLengthIndel arg (=5) maximum length of a _sequencing error_ indel in read [not for --faster option] Library options: --libFile arg file with library insert histograms (as generated by --analysis getCIGARindels) Misc results analysis options: --compareReadHap compare likelihood differences in reads against haplotypes --compareReadHapThreshold arg (=0.5) difference threshold for viewing --showEmpirical show empirical distribution over nucleotides --showCandHap show candidate haplotypes for fast method --showHapAlignments show for each haplotype which reads map to it --showReads show reads --inferenceMethod arg (=empirical) inference method --opl output likelihoods for every read and haplotype
SEE ALSO
The full documentation for dindel you find referenced on https://sites.google.com/site/keesalbers/soft/dindel March 2016 DINDEL(1)