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Tadpole is 250x faster than SPADes assembler !

  • Public
By LEGE 1211 days ago
lege@jit-Lenovo-ideapad-320-15ISK:~/Downloads/MyTools/Vir$ tadpole.sh Written by Brian Bushnell Last modified July 16, 2018 Description: Uses kmer counts to assemble contigs, extend sequences, or error-correct reads. Tadpole has no upper bound for kmer length, but some values are not supported. Specifically, it allows 1-31, multiples of 2 from 32-62, multiples of 3 from 63-93, etc. Please read bbmap/docs/guides/TadpoleGuide.txt for more information. Usage: Assembly: tadpole.sh in=<reads> out=<contigs> Extension: tadpole.sh in=<reads> out=<extended> mode=extend Correction: tadpole.sh in=<reads> out=<corrected> mode=correct Extension and correction may be done simultaneously. Error correction on multiple files may be done like this: tadpole.sh in=libA_r1.fq,libA_merged.fq in2=libA_r2.fq,null extra=libB_r1.fq out=ecc_libA_r1.fq,ecc_libA_merged.fq out2=ecc_libA_r2.fq,null mode=correct Extending contigs with reads could be done like this: tadpole.sh in=contigs.fa out=extended.fa el=100 er=100 mode=extend extra=reads.fq k=62 Input parameters: in=<file> Primary input file for reads to use as kmer data. in2=<file> Second input file for paired data. extra=<file> Extra files for use as kmer data, but not for error- correction or extension. reads=-1 Only process this number of reads, then quit (-1 means all). NOTE: in, in2, and extra may also be comma-delimited lists of files. Output parameters: out=<file> Write contigs (in contig mode) or corrected/extended reads (in other modes). out2=<file> Second output file for paired output. outd=<file> Write discarded reads, if using junk-removal flags. dot=<file> Write a contigs connectivity graph (partially implemented) dump=<file> Write kmers and their counts. fastadump=t Write kmers and counts as fasta versus 2-column tsv. mincounttodump=1 Only dump kmers with at least this depth. showstats=t Print assembly statistics after writing contigs. Prefiltering parameters: prefilter=0 If set to a positive integer, use a countmin sketch to ignore kmers with depth of that value or lower. prehashes=2 Number of hashes for prefilter. prefiltersize=0.2 (pff) Fraction of memory to use for prefilter. minprobprefilter=t (mpp) Use minprob for the prefilter. prepasses=1 Use this many prefiltering passes; higher be more thorough if the filter is very full. Set to 'auto' to iteratively prefilter until the remaining kmers will fit in memory. onepass=f If true, prefilter will be generated in same pass as kmer counts. Much faster but counts will be lower, by up to prefilter's depth limit. Hashing parameters: k=31 Kmer length (1 to infinity). Memory use increases with K. prealloc=t Pre-allocate memory rather than dynamically growing; faster and more memory-efficient. A float fraction (0-1) may be specified; default is 1. minprob=0.5 Ignore kmers with overall probability of correctness below this. minprobmain=t (mpm) Use minprob for the primary kmer counts. threads=X Spawn X hashing threads (default is number of logical processors). rcomp=t Store and count each kmer together and its reverse-complement. coremask=t All kmer extensions share the same hashcode. fillfast=t Speed up kmer extension lookups. Assembly parameters: mincountseed=3 (mcs) Minimum kmer count to seed a new contig or begin extension. mincountextend=2 (mce) Minimum kmer count continue extension of a read or contig. It is recommended that mce=1 for low-depth metagenomes. mincountretain=0 (mincr) Discard kmers with count below this. maxcountretain=INF (maxcr) Discard kmers with count above this. branchmult1=20 (bm1) Min ratio of 1st to 2nd-greatest path depth at high depth. branchmult2=3 (bm2) Min ratio of 1st to 2nd-greatest path depth at low depth. branchlower=3 (blc) Max value of 2nd-greatest path depth to be considered low. minextension=2 (mine) Do not keep contigs that did not extend at least this much. mincontig=auto (minc) Do not write contigs shorter than this. mincoverage=1 (mincov) Do not write contigs with average coverage below this. trimends=0 (trim) Trim contig ends by this much. Trimming by K/2 may yield more accurate genome size estimation. contigpasses=16 Build contigs with decreasing seed depth for this many iterations. contigpassmult=1.7 Ratio between seed depth of two iterations. ownership=auto For concurrency; do not touch. processcontigs=f Explore the contig connectivity graph. (partially implemented) Processing modes: mode=contig contig: Make contigs from kmers. extend: Extend sequences to be longer, and optionally perform error correction. correct: Error correct only. insert: Measure insert sizes. discard: Discard low-depth reads, without error correction. Extension parameters: extendleft=100 (el) Extend to the left by at most this many bases. extendright=100 (er) Extend to the right by at most this many bases. ibb=t (ignorebackbranches) Do not stop at backward branches. extendrollback=3 Trim a random number of bases, up to this many, on reads that extend only partially. This prevents the creation of sharp coverage discontinuities at branches. Error-correction parameters: ecc=f Error correct via kmer counts. reassemble=t If ecc is enabled, use the reassemble algorithm. pincer=f If ecc is enabled, use the pincer algorithm. tail=f If ecc is enabled, use the tail algorithm. eccfull=f If ecc is enabled, use tail over the entire read. aggressive=f (aecc) Use aggressive error correction settings. Overrides some other flags like errormult1 and deadzone. conservative=f (cecc) Use conservative error correction settings. Overrides some other flags like errormult1 and deadzone. rollback=t Undo changes to reads that have lower coverage for any kmer after correction. markbadbases=0 (mbb) Any base fully covered by kmers with count below this will have its quality reduced. markdeltaonly=t (mdo) Only mark bad bases adjacent to good bases. meo=t (markerrorreadsonly) Only mark bad bases in reads containing errors. markquality=0 (mq) Set quality scores for marked bases to this. A level of 0 will also convert the base to an N. errormult1=16 (em1) Min ratio between kmer depths to call an error. errormult2=2.6 (em2) Alternate ratio between low-depth kmers. errorlowerconst=3 (elc) Use mult2 when the lower kmer is at most this deep. mincountcorrect=3 (mcc) Don't correct to kmers with count under this. pathsimilarityfraction=0.45(psf) Max difference ratio considered similar. Controls whether a path appears to be continuous. pathsimilarityconstant=3 (psc) Absolute differences below this are ignored. errorextensionreassemble=5 (eer) Verify this many kmers before the error as having similar depth, for reassemble. errorextensionpincer=5 (eep) Verify this many additional bases after the error as matching current bases, for pincer. errorextensiontail=9 (eet) Verify additional bases before and after the error as matching current bases, for tail. deadzone=0 (dz) Do not try to correct bases within this distance of read ends. window=12 (w) Length of window to use in reassemble mode. windowcount=6 (wc) If more than this many errors are found within a a window, halt correction in that direction. qualsum=80 (qs) If the sum of the qualities of corrected bases within a window exceeds this, halt correction in that direction. rbi=t (requirebidirectional) Require agreement from both directions when correcting errors in the middle part of the read using the reassemble algorithm. errorpath=1 (ep) For debugging purposes. Junk-removal parameters (to only remove junk, set mode=discard): tossjunk=f Remove reads that cannot be used for assembly. This means they have no kmers above depth 1 (2 for paired reads) and the outermost kmers cannot be extended. Pairs are removed only if both reads fail. tossdepth=-1 Remove reads containing kmers at or below this depth. Pairs are removed if either read fails. lowdepthfraction=0 (ldf) Require at least this fraction of kmers to be low-depth to discard a read; range 0-1. 0 still requires at least 1 low-depth kmer. requirebothbad=f (rbb) Only discard pairs if both reads are low-depth. tossuncorrectable (tu) Discard reads containing uncorrectable errors. Requires error-correction to be enabled. Shaving parameters: shave=t Remove dead ends (aka hair). rinse=t Remove bubbles. wash= Set shave and rinse at the same time. maxshavedepth=1 (msd) Shave or rinse kmers at most this deep. exploredist=300 (sed) Quit after exploring this far. discardlength=150 (sdl) Discard shavings up to this long. Note: Shave and rinse can produce substantially better assemblies for low-depth data, but they are very slow for large metagenomes. Overlap parameters (for overlapping paired-end reads only): merge=f Attempt to merge overlapping reads prior to kmer-counting, and again prior to correction. Output will still be unmerged pairs. ecco=f Error correct via overlap, but do not merge reads. testmerge=t Test kmer counts around the read merge junctions. If it appears that the merge created new errors, undo it. Java Parameters: -Xmx This will be passed to Java to set memory usage, overriding the program's automatic memory detection. -Xmx20g will specify 20 gigs of RAM, and -Xmx200m will specify 200 megs. The max is typically 85% of physical memory. -eoom This flag will cause the process to exit if an out-of-memory exception occurs. Requires Java 8u92+. -da Disable assertions.