megacc使用帮助说明书

-a --analysisOptions

      MEGA Analysis Options File    *required*

      Specify the full path to the Mega Analysis Options (.mao) file.

      This file tells MEGA-CC which analysis to perform as well as

      which options to use

  -c --calibration

      Calibration file *optional*

      Specify the full path to a calibration file that you wish to use. The calibration

      file is used to provide calibration data for tree timing methods.

  -ca --concatenate-alignments

      Command to concatenate multiple sequence alignments into a single sequence alignment file

      The files to be concatenated should either be located in a directory specified by the -d option

      or the -l option can be used to specify the files to concatenate via a text file that has the

      full path to each file on a separate line

  -d --data

      Data File        *required*

      Specify the full  or relative path to the data file you wish to

      analyze.  MEGA (.meg), and Fasta files are supported for

      all analyses. For distance matrices the MEGA (.meg) format is required.

  -f --format *applies to sequence alignment only*

      Export format for sequence alignment

      Sequence alignments can be exported in either the native .meg

      or FASTA format.

      Format values:

        MEGA

        Fasta

  -g --groups

      Groups file *optional*

      Specify the full path to the groups file that you wish to use. This file organizes

      taxa into groups where each line in the file is a key value pair of the form

            taxonName=groupName

      Group information is used for certain analyses, for instance, specifying which taxon/taxa

      comprise the outgroup for the timetree analysis

  -gs --gap-symbol

      The character that represents indels in the sequence data file that is being analyzed

      If this is provided, it will override the value that is provided in the .mao file

  -h --help

      Help

      Prints this help file document

  -is --identical-base-symbol

      The character that represents identical bases in the sequence data file that is being analyzed

      If this is provided, it will override the value that is provided in the .mao file

  -l --list

      Input File List

      Specifies a text file which has a list of input data files to be analyzed.  This option can be  used

      instead of -d or -t to specify input data, in which case, the same analysis will be performed on all

      input files listed in the text file and each output results files will be named using  the  name  of

      its corresponding input file.  The indicated text file must be formatted such that each line has the

      full path to the sequence data file to be used and if a tree file is also provided it is on the same

      line but separated by a two pipe characters (e.g. || ).  See EXAMPLES and LIST FORMAT below.

  -ms --missing-base-symbol

      The character that represents missing bases in the sequence data file that is being analyzed

      If this is provided, it will override the value that is provided in the .mao file

  -n --noSummary: Do not write out the analysis summary file

      By default a file that gives an analysis summary is written.

      This option suppresses the export of that file. However, if

      any important messages are generated by the application, they

      will be written to this file regardless.

  -o --outfile    *optional*

      Output Path / Output Dir

      Specify the full path and base filename (e.g. /myResultsDirectory/myResultName) or

      simply the full path and directory of where to save the file

      (e.g. /myResultsDirectory) in which case, a unique filename will be chosen

      automatically for you.

  -pfc --partition-frequency-cutoff

      Partition Frequency Cutoff (a value between 0.0 and 1.0 - default is 0.5) *optional*

      When bootstrapping is used for tree construction a list of partitions and

      frequencies is written to a text file. The partition frequency cutoff

      causes any partitions whose frequency is less than the cutoff value

      to be ommited from this text file. Set this value to 0.0 to include

      all partitions.

  -r --recursive

      Recursive directory search *optional*

      If a directory is specified for analysis by default MEGA only searches

      the contents of that folder and not any of it's children.  To include the

      contents of all folders under the one specified, use this option.

  -s --silent: Do not write out the progress updates

      This option prevents progress updates from being written to stdout.

  -t --tree    *required for some analyses*

      Tree File

      Specify the full path to the tree file you wish to use. (Some

      analyses requires a user provided tree, or allow you to provide

      your own)

  If no output path is specified, results will be saved in the same directory

  as the input data file, with a unique name.

EXAMPLES

  This example performs a multiple sequence alignment on codons (it assumes that you have created

  the file "Clustal_Codon_Alignment.mao" using the prototyper (megaproto). A fasta file with coding

  data is used as input and the resulting alignment is output

  in the MEGA format:

      megacc -a ~/Documents/Clustal_Codon_Alignment.mao -d ~/Documents/codingData.fas -o ~/Documents/codingDataAligned.meg

  This example shows how to construct a neighbor-joining phylogeny for each of a list of sequence data files.

  The analysis will be performed for each file listed in "listOfDataFiles.txt" and all results will be written to

  the ~/Documents/outputDirectory/ directory:

      megacc -a ~/Documents/NJ_Tree_Settings.mao -l ~/Documents/listOfDataFiles.txt -o ~/Documents/outputDirectory/

LIST FORMAT

  When using the -l option, each file to be analyzed must be on its own line. For example:

      ~/Documents/myData/seqData1.fas

      ~/Documents/myData/seqData2.fas

      ~/Documents/myData/seqData3.fas

  If the analyses are to use a user-provided Newick tree file, then the tree files are given on the same line as

  the data files, following two pipe characters. For example:

      ~/Documents/myData/seqData1.fas || ~/Documents/myData/treeFile1.nwk

      ~/Documents/myData/seqData2.fas || ~/Documents/myData/treeFile2.nwk

      ~/Documents/myData/seqData3.fas || ~/Documents/myData/treeFile3.nwk

CALIBRATION FORMAT

  For the Reltime analysis, multiple calibration points can be used to convert relative times to absolute

  times. Calibrations are given in a text file which is specified using the -c option and is formatted using

  one of three formats. In the first format, the node in the tree for a given calibration is specified

  by its name, which must be included as an internal node label in the newick tree file used:

      !NodeName1="name1" minTime=1.75 maxTime=2.25;

      !NodeName2="name2" minTime=3.0;

      !NodeName3="name3" time=2.5;

  In the second format, the node in the tree for a given calibration point is indicated by specifying two

  taxa whose most recent common ancestor is the node to calibrate:

      !MRCA="some name1" TaxonA="taxon1 name" TaxonB="taxon2 name" minTime=1.75 maxTime=2.25;

      !MRCA="some name2" TaxonA="taxon3 name" TaxonB="taxon4 name" minTime=3.0;

      !MRCA="some name3" TaxonA="taxon5 name" TaxonB="taxon6 name" time=2.5;

  In the third format, target nodes are specified in the same way as the above examples but

  probability distributions are specifed for divergence time constraints instead of min and max times:

      !NodeName1="name1" Distribution=normal mean=6.4 stddev=1.2;

      !MRCA="some name2" TaxonA="taxon1 name" TaxonB="taxon2 name" Distribution=exponential time=8.2 lambda=0.25;

      !MRCA="some name3" TaxonA="taxon1 name" TaxonB="taxon2 name" Distribution=uniform mintime=4 maxtime=6;

      !MRCA="some name4" TaxonA="taxon1 name" TaxonB="taxon2 name" Distribution=lognormal offset=7.0 mean=2.38 stddev=0.15;

CITING MEGACC

  Kumar S, Stecher G, Peterson D, and Tamura K (2012) MEGA-CC: Computing Core of Molecular Evolutionary Genetics Analysis Program for Automated and Iterative Data Analysis. Bioinformatics 28:2685-2686.

  Kumar S, Stecher G, Li M, Knyaz C, and Tamura K (2018) MEGAX: Molecular Evolutionary Genetics Analysis across computing platforms. Molecular Biology and Evolution 35:1547-1549.

AUTHORS

  Sudhir Kumar, Glen Stecher, and Koichiro Tamura

COPYRIGHT

  copyright 2011-2020 by the authors

MEGA has completed the requested action

Terminating the megacc process with exit code 0

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