Provided by: shasta_0.8.0-2ubuntu1_amd64 
NAME
shasta - nanopore whole genome assembly tool
DESCRIPTION
Options allowed only on the command line:
-h [ --help ]
Write a help message.
-v [ --version ]
Identify the Shasta version.
--config arg
Configuration file name.
--input arg
Names of input files containing reads. Specify at least one.
--assemblyDirectory arg (=ShastaRun)
Name of the output directory. If command is assemble, this directory must not
exist.
--command arg (=assemble)
Command to run. Must be one of: assemble, saveBinaryData, cleanupBinaryData,
explore, createBashCompletionScript
--memoryMode arg (=anonymous)
Specify whether allocated memory is anonymous or backed by a filesystem. Allowed
values: anonymous, filesystem.
--memoryBacking arg (=4K)
Specify the type of pages used to back memory. Allowed values: disk, 4K , 2M (for
best performance). All combinations (memoryMode, memoryBacking) are allowed except
for (anonymous, disk). Some combinations require root privilege, which is obtained
using sudo and may result in a password prompting depending on your sudo set up.
--threads arg (=0)
Number of threads, or 0 to use one thread per virtual processor.
--exploreAccess arg (=user)
Specify allowed access for --command explore. Allowed values: user, local,
unrestricted. DO NOT CHANGE FROM DEFAULT VALUE WITHOUT UNDERSTANDING THE SECURITY
IMPLICATIONS.
--port arg (=17100)
Port to be used by the http server (command --explore).
Options allowed on the command line and in the config file:
--Reads.minReadLength arg (=10000)
Read length cutoff. Shorter reads are discarded.
--Reads.noCache
If set, skip the Linux cache when loading reads. This is done by specifying the
O_DIRECT flag when opening input files containing reads.
--Reads.palindromicReads.skipFlagging
Skip flagging palindromic reads. Oxford Nanopore reads should be flagged for better
results.
--Reads.palindromicReads.maxSkip arg (=100)
Used for palindromic read detection.
--Reads.palindromicReads.maxDrift arg (=100)
Used for palindromic read detection.
--Reads.palindromicReads.maxMarkerFrequency arg (=10)
Used for palindromic read detection.
--Reads.palindromicReads.alignedFractionThreshold arg (=0.1)
Used for palindromic read detection.
--Reads.palindromicReads.nearDiagonalFractionThreshold arg (=0.1)
Used for palindromic read detection.
--Reads.palindromicReads.deltaThreshold arg (=100)
Used for palindromic read detection.
--Kmers.generationMethod arg (=0)
Method to generate marker k-mers: 0 = random, 1 = random, excluding globally
overenriched,2 = random, excluding overenriched even in a single read,3 = read from
file.
--Kmers.k arg (=10)
Length of marker k-mers (in run-length space).
--Kmers.probability arg (=0.1)
Fraction k-mers used as a marker.
--Kmers.enrichmentThreshold arg (=100.)
Enrichment threshold for Kmers.generationMethod 1 and 2.
--Kmers.file arg
The absolute path of a file containing the k-mers to be used as markers, one per
line. A relative path is not accepted. Only used if Kmers.generationMethod is 3.
--MinHash.version arg (=0)
Controls the version of the LowHash algorithm to use. Can be 0 (default) or
1.(experimental).
--MinHash.m arg (=4)
The number of consecutive markers that define a MinHash/LowHash feature.
--MinHash.hashFraction arg (=0.01)
Defines how low a hash has to be to be used with the LowHash algorithm.
--MinHash.minHashIterationCount arg (=10)
The number of MinHash/LowHash iterations, or 0 to let
--MinHash.alignmentCandidatesPerRead control the number of iterations.
--MinHash.alignmentCandidatesPerRead arg (=20)
If --MinHash.minHashIterationCount is 0, MinHash iteration is stopped when the
average number of alignment candidates that each read is involved in reaches this
value. If --MinHash.minHashIterationCount is not 0, this is not used.
--MinHash.minBucketSize arg (=0)
The minimum bucket size to be used by the LowHash algorithm.
--MinHash.maxBucketSize arg (=10)
The maximum bucket size to be used by the LowHash algorithm.
--MinHash.minFrequency arg (=2)
The minimum number of times a pair of reads must be found by the MinHash/LowHash
algorithm in order to be considered a candidate alignment.
--MinHash.allPairs
Skip the MinHash algorithm and mark all pairs of reads as alignmentcandidates with
both orientation. This should only be used for experimentation on very small runs
because it is very time consuming.
--Align.alignMethod arg (=3)
The alignment method to be used to create the read graph & the marker graph. 0 =
old Shasta method, 1 = SeqAn (slow), 3 = banded SeqAn.
--Align.maxSkip arg (=30)
The maximum number of markers that an alignment is allowed to skip.
--Align.maxDrift arg (=30)
The maximum amount of marker drift that an alignment is allowed to tolerate between
successive markers.
--Align.maxTrim arg (=30)
The maximum number of unaligned markers tolerated at the beginning and end of an
alignment.
--Align.maxMarkerFrequency arg (=10)
Marker frequency threshold. Markers more frequent than this value in either of two
oriented reads being aligned are discarded and not used to compute the alignment.
--Align.minAlignedMarkerCount arg (=100)
The minimum number of aligned markers for an alignment to be used.
--Align.minAlignedFraction arg (=0)
The minimum fraction of aligned markers for an alignment to be used.
--Align.matchScore arg (=6)
Match score for marker alignments (only used for alignment methods 1 and 3).
--Align.mismatchScore arg (=-1)
Mismatch score for marker alignments (only used for alignment methods 1 and 3).
--Align.gapScore arg (=-1)
Gap score for marker alignments (only used for alignment methods 1 and 3).
--Align.downsamplingFactor arg (=0.10000000000000001)
Downsampling factor (only used for alignment method 3).
--Align.bandExtend arg (=10)
Amount to extend the downsampled band (only used for alignment method 3).
--Align.sameChannelReadAlignment.suppressDeltaThreshold arg (=0)
If not zero, alignments between reads from the same nanopore channel and close in
time are suppressed. The "read" meta data fields from the FASTA or FASTQ header are
checked. If their difference, in absolute value, is less than the value of this
option, the alignment is suppressed. This can help avoid assembly artifact. This
check is only done if the two reads have identical meta data fields "runid",
"sampleid", and "ch". If any of these meta data fields are missing, this check is
suppressed and this option has no effect.
--Align.suppressContainments
Suppress containment alignments, that is alignments in which one read is entirely
contained in another read, except possibly for up to maxTrim markers at the
beginning and end.
--ReadGraph.creationMethod arg (=0)
The method used to create the read graph (0 = undirected, default, 1 = directed,
experimental).
--ReadGraph.maxAlignmentCount arg (=6)
The maximum number of alignments to be kept for each read.
--ReadGraph.minComponentSize arg (=100)
The minimum size (number of oriented reads) of a connected component of the read
graph to be kept. This is currently ignored.
--ReadGraph.maxChimericReadDistance arg (=2)
Used for chimeric read detection.
--ReadGraph.crossStrandMaxDistance arg (=6)
Maximum distance (edges) for flagCrossStrandReadGraphEdges. Set this to zero to
entirely suppress flagCrossStrandReadGraphEdges.
--ReadGraph.containedNeighborCount arg (=6)
Maximum number of alignments to be kept for each contained read (only used when
creationMethod is 1).
--ReadGraph.uncontainedNeighborCountPerDirection arg (=3)
Maximum number of alignments to be kept in each direction (forward, backward) for
each uncontained read (only used when creationMethod is 1).
--ReadGraph.removeConflicts
Remove conflicts from the read graph. Experimental - do not use.
--MarkerGraph.minCoverage arg (=10)
Minimum number of markers for a marker graph vertex.
--MarkerGraph.maxCoverage arg (=100)
Maximum number of markers for a marker graph vertex.
--MarkerGraph.lowCoverageThreshold arg (=0)
Used during approximate transitive reduction. Marker graph edges with coverage
lower than this value are always marked as removed regardless of reachability.
--MarkerGraph.highCoverageThreshold arg (=256)
Used during approximate transitive reduction. Marker graph edges with coverage
higher than this value are never marked as removed regardless of reachability.
--MarkerGraph.maxDistance arg (=30)
Used during approximate transitive reduction.
--MarkerGraph.edgeMarkerSkipThreshold arg (=100)
Used during approximate transitive reduction.
--MarkerGraph.pruneIterationCount arg (=6)
Number of prune iterations.
--MarkerGraph.simplifyMaxLength arg (=10,100,1000)
Maximum lengths (in markers) used at each iteration of simplifyMarkerGraph.
--MarkerGraph.crossEdgeCoverageThreshold arg (=0)
Experimental. Cross edge coverage threshold. If this is not zero, assembly graph
cross-edges with average edge coverage less than this value are removed, together
with the corresponding marker graph edges. A cross edge is defined as an edge
v0->v1 with out-degree(v0)>1, in-degree(v1)>1.
--MarkerGraph.refineThreshold arg (=0)
Experimental. Length threshold, in markers, for the marker graph refinement step,
or 0 to turn off the refinement step.
--MarkerGraph.reverseTransitiveReduction
Perform approximate reverse transitive reduction of the marker graph.
--Assembly.crossEdgeCoverageThreshold arg (=3)
Maximum average edge coverage for a cross edge of the assembly graph to be removed.
--Assembly.markerGraphEdgeLengthThresholdForConsensus arg (=1000)
Controls assembly of long marker graph edges.
--Assembly.consensusCaller arg (=Bayesian:guppy-2.3.5-a)
Selects the consensus caller for repeat counts. See the documentation for available
choices.
--Assembly.storeCoverageData
Used to request storing coverage data in binary format.
--Assembly.storeCoverageDataCsvLengthThreshold arg (=0)
Used to specify the minimum length of an assembled segment for which coverage data
in csv format should be stored. If 0, no coverage data in csv format is stored.
--Assembly.writeReadsByAssembledSegment
Used to request writing the reads that contributed to assembling each segment.
--Assembly.detangleMethod arg (=0)
Experimental. Specify the method used to detangle the assembly graph. 0 = no
detangling, 1 = basic detangling.