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ClusteringCustom Type

Optional modifiers to specify clustering

Union cases

Union case Description

ClusterSize int

Full Usage: ClusterSize int

Parameters:
    Item : int

Soft maximum of sequences in sub-clusters

Item : int

ClusteringOut string

Full Usage: ClusteringOut string

Parameters:
    Item : string

Clustering output file

Item : string

DistanceMatrixInput string

Full Usage: DistanceMatrixInput string

Parameters:
    Item : string

Pairwise distance matrix input file (skips distance computation)

Item : string

DistanceMatrixOutput string

Full Usage: DistanceMatrixOutput string

Parameters:
    Item : string

Pairwise distance matrix output file

Item : string

Full

Full Usage: Full

Use full distance matrix for guide-tree calculation (slow; mBed is default)

FullIter

Full Usage: FullIter

Use full distance matrix for guide-tree calculation during iteration (mBed is default)

GuideTreeInput string

Full Usage: GuideTreeInput string

Parameters:
    Item : string

Guide tree input file (skips distance computation and guide tree clustering step)

Item : string

GuideTreeOutput string

Full Usage: GuideTreeOutput string

Parameters:
    Item : string

Guide tree output file

Item : string

PercentID

Full Usage: PercentID

convert distances into percent identities (default no)

UseKimura

Full Usage: UseKimura

Use Kimura distance correction for aligned sequences (default no)

Static members

Static member Description

ClusteringCustom.make

Full Usage: ClusteringCustom.make

Returns: ClusteringCustom -> string list
Returns: ClusteringCustom -> string list

ClusteringCustom.makeWith m

Full Usage: ClusteringCustom.makeWith m

Parameters:
Returns: ClusteringCustom -> string list
m : MountInfo
Returns: ClusteringCustom -> string list

Type something to start searching.