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软件教程 > 生物软件教程 > POPGENE使用介绍(图文)

POPGENE使用介绍(图文)

最后更新:2010-5-29 阅读次数: 【字体:

Input File Format

Input file for POPGENE analysis consists of the header section and the data.  The headersection specifies (1) a job title delimited by /* ... */; (2) number of populations; (3)

number of loci and (4) locus names.  The body of data starts with, for each population,population ID # (optional), population name (optional). If you do not give population ID#

or population name, you must leave at least one blank line between populations andPOPGENE will generate population ID # automatically for you.  But if you do, yourpopulation ID

# and population name must be unique for each population. The raw data,in free format and with or without one or more spaces between columns, immediatelyfollow without blank

lines in between.  Missing values must be set to “ . ‘‘ for haploidsand dominant markers such as RAPDs (i.e., one digit to score for presence or absence ofallele) and “..”

(i.e., two digits) for diploids co-dominant markers in your input file.  Hereare three examples of data. The first two datasets have space between columns and thethird dataset

has mixture of space and without space to illustrate flexibility of data inputand how input file for haploid and diploid should be prepared.


Input file format for haploid data

/* Haploid numeric data of 3 populations each with 3 records (gametes) & 19 loci*/

Number of populations = 3

locus name :

AAT-1 AAT-2 ACO ADH APH DIA-2 DIA-3 GDH G6H IDH MDH-1 MDH-2 MDH-3 MDH-4 ME PGIID =    1

 1  1  1  2  1  1  1  1  2  1  1  1  2  1  1  1  1  1  1

 1  1  1  2  1  1  1  1  2  1  1  1  2  1  1  1  1  1  1

ID =    2

 1  1  1  2  1  1  1  1  2  1  1  1  3  1  1  1  1  1  1

 1  1  1  1  1  1  1  1  2  1  1  1  6  3  1  1  1  1  1

ID =    3

 1  1  3  2  3  1  1  1  1  1  1  1  2  1  1  1  1  1  1

 1  1  1  2  3  1  1  1  2  1  1  1  2  1  1  1  1  1  1

 

Input file format for diploid data, co-dominant marker

/* Diploid alphabetic data of 3 populations each with varying records(genotypes) & 21 loci */

Number of populations = 3

Locus name : AAT-3 ACO   ADH   DIA-1 DIA-3 EST-2 GDH   G6P   HAIDH   MDH-1 MDH-2 MDH-3 MDH-4 PEP-1 PEP-2 PGI-2 PGM   SPG-2AA AA AA AA AA AA AA BB AA AA AA AA AA AA AA AA AA AA

AA AA AAAA AA AA AB BB A3 AA AB BB AA AA AA AA AA AA AA AA AA AB AA AAAA AA AA AA BB CC AA BB AB AA AA AA AA AA AA AA AA AA AA AA AAAA AA AA AA AB AC AA BB AA AA AA AA AA AA AA

AC AA AA AA AB AAAB AA AA AA BC AC AA AB AB AA AA AA AA AB AA AB AA AA AA AA AAAA AA AA AA AA BC AA AB AA AA AA AA AA AA AA AB AA AA AA AA AAAA AA AA AB BC BC AA BB AB AA AA AA

AA AB AA AA AA AA AA AC AAAA AA AA AA AB AC AA BB AA AA AA AA AA AA AA AA AA AA AA AA AAAA AA AA AB AA AC AA AB AB AA AA AA AA AA AA AB AA AA AA AA AAAA AA AA AA BB BB AA AA AA

AA AA AA AA AA AA AB AA AA AA AA AAAA AA AA AB BB BC AA BB AA AC AA AA AA AA AA AA AA AA AC AD AAAA AA AA AA AB BC AA AB AB AA AA AA AA AA AA AA AA AA AA AA AAAA AA AA AA AA BC

AA AB AB AA AA AA AA AA AA BC AA AA AA AA AAAA AA AA AA BD BC AA AB AB AA AA AA AA AA AA AA AA AA AC AE AAAA AA AA AB CC BB AA BB AA AA AA AA AA AA AA AA AA AA AA AB AAAA AA AA

AB CC BB AA AA AB AA AA AA AA AA AA AA AA AA AA AB AAAA AA AA AA AB BC AA AA BB AA AA AA AA AA AA AB AA AA AA AA AAAA AA AA AB AC AB AA BB AA AA AA AA AA AA AA AA AA AA AA AB

AAAA AA AA AB AB AB AA BB AA AA AA AA AA AA AA AA AA AA AA AA AAAA AA AA AA BB AB AA AA AA AA AA AA AA AA AA BB AA AA AA AA AAAA AA AA AA CC BC AA AB AB AA AA AA AA AA AA AB AA

AA AA AC AAAA AA AB AA BE BB AA BB AB AA AA AA AA AA AA AB AA AA AA AA AAAA AA AA AA AB BC AA AB AA AA AA AA AA AA AA AB AA AA AA AA AAAA AA AA AB AC BC AA BB BB AA AA AA AA AA

AA AA AA AA AA AA AAAA AA AA AB BB AC AA BB AA AA AA AA AA AA AA AB AA AA AA AA AAAA AA AA AA AC AC AA AA AB AA AA AA AB AA AA AB AA AA AA AA AAAA AA AA AA BC BC AA BB AB AA AA

AA AA AA AA AB AA AA AA AC AA

Input file format for diploid data, dominant marker/* Diploid RAPD Data Set */

Number of populations =  2

Locus name :1-2 OPA01-3 OPA01-4 OPA01-5

OPA03-1 OPA03-2 OPA03-3 OPA03-4 OPA03-5 OPA03-6OPA04-1 OPA04-2 OPA04-3 OPA04-4 OPA04-5 OPA04-6 OPA04-7OPA11-1 OPA11-2 OPA11-3 OPA11-4

name = Slave Lake

fis = -0.238 0111010 001000 1001

10110 100100 0011010 001000 0001

11111 100100 0011010 001010 0001

10110 101100 0011010 001010 1101

11101 100100 0101010 001000 1001

11001 100100 0111010 001010 1001

11101 101100 0101010 001000 1001

11101 111100 0011010 001000 0001

11000 100100 0000010 001010 0001

11001 100100 0110010 001000 1001

name = Little Smoky

fis = 0.0

11101 111101 0111010 111000 1111

11110 100001 1011010 101010 1011

10101 111111 0011010 111000 0101

11000 100000 0111010 111010 0111

11101 101111 0011010 011010 1001

11011 111100 0011010 011010 1011

11110 111101 0011010 001001 0011

11111 111110 0000010 111010 0111

11101 100000 1111010 001000 1001

11111 100000 1111010 001000 1001

11001 101100 0100010 110100 1001

11001 111000 0010010 001000 0001

 

popgene32 Version 1.32 下载址:http://www.seekbio.com/soft/1059.html

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