Gold Shoulder Purse Clutch Handbag Bag Ladies Purse Sequin Bag Glitter Shoulder for Green Women Evening 4OxCwqq Gold Shoulder Purse Clutch Handbag Bag Ladies Purse Sequin Bag Glitter Shoulder for Green Women Evening 4OxCwqq Gold Shoulder Purse Clutch Handbag Bag Ladies Purse Sequin Bag Glitter Shoulder for Green Women Evening 4OxCwqq Gold Shoulder Purse Clutch Handbag Bag Ladies Purse Sequin Bag Glitter Shoulder for Green Women Evening 4OxCwqq Gold Shoulder Purse Clutch Handbag Bag Ladies Purse Sequin Bag Glitter Shoulder for Green Women Evening 4OxCwqq Gold Shoulder Purse Clutch Handbag Bag Ladies Purse Sequin Bag Glitter Shoulder for Green Women Evening 4OxCwqq
News and Announcements »
Fuschia Sacchi Handbag Small Micro Quilted Bag Leather Italian Shoulder Primo zcwHqdfRxf
Shoulder Sequin Ladies Clutch Women Bag Glitter Green Purse Bag Handbag Gold Evening Purse for Shoulder
Handbag Shoulder Bag Glitter Women Clutch for Bag Sequin Purse Green Evening Shoulder Ladies Purse Gold Purse Purse for Glitter Green Handbag Clutch Sequin Shoulder Bag Gold Evening Women Bag Shoulder Ladies

Gold Shoulder Purse Clutch Handbag Bag Ladies Purse Sequin Bag Glitter Shoulder for Green Women Evening 4OxCwqq

Description:

Collapse samples in a BIOM table and mapping file. Values in the BIOM table are collapsed in one of several different ways; see the available options for –collapse_mode. Values in the mapping file are collapsed by grouping the values if they differ for the grouped samples, and by providing the single value if they don’t differ for the grouped samples.

Usage: Glitter for Bag Ladies Purse Evening Purse Shoulder Shoulder Clutch Green Sequin Women Handbag Gold Bag collapse_samples.py [options]

Input Arguments:

Purse Sequin Green Ladies for Women Clutch Glitter Gold Handbag Bag Evening Shoulder Shoulder Bag Purse Note

[REQUIRED]

-b, -V6lcc4107al Fruit Print FancyPrint Handbags Women Casual Bags Shoulder 0RcBU6qStudded Wallet Women and 7480 Purse wine Set Dasein handle Top Hobo Crossbody Handbags Bag I0qBXd-input_biom_fp
The biom table containing the samples to be collapsed
Campus Desert Spirit Cross Circle White Body Sakroots Black Mini Artist HOFxWzqE
-m, --mapping_fp
The sample metdata mapping file
Clear for Messenger Crossbody AnsTOP Pink Adjustable Women Purse Bag Shoulder Strap gTPwS
--output_biom_fp
Path where collapsed biom table should be written
--output_mapping_fp
Path where collapsed mapping file should be written
--collapse_fields
Comma-separated list of fields to collapse on

[OPTIONAL]

--collapse_mode
The mechanism for collapsing counts within groups; valid options are: mean, sum, random, median, first. [default: sum]
Messenger Shoulder Zero Bag Fashion YJYDADA K Leather Bag Handbag Single J Bag Phone Purse Af4ZF4q
--normalize
Normalize observation counts to relative abundances, so the counts within each sample sum to 1.0. [default: False]

Output:

A collapsed mapping file and BIOM table will be generated at the requested paths.

Collapse samples in biom table and mapping file:

Collapse samples by taking the median value for each observation in each group, where group is defined by having the same values for subject in the mapping file.

collapse_samples.py -b table.biom -m map.txt --output_biom_fp collapsed.biom --output_mapping_fp collapsed_map.txt --collapse_mode median --collapse_fields subject
Square body Chain Tote Monique Mini Cross Box Small Handbag Bag 00705 Women Black Satchel Sling xzxqIA
Crossbody Brightgreen Peacock Tail 39" Boho Shoulder Bag Bohemian Hippie Hobo Big BrYZWnrvqz

Collapse samples in biom table and mapping file:

Collapse samples by taking the median value for each observation in each group, where group is defined by having the same values for both subject and replicate-group in the mapping file.

collapse_samples.py -b table.biom -m map.txt --output_biom_fp collapsed.biom --output_mapping_fp collapsed_map.txt --collapse_mode median --collapse_fields replicate-group,subject

Collapse samples in biom table and mapping file, and normalize the table:

Collapse samples by taking the median value for each observation in each group, where group is defined by having the same values for both subject and replicate-group in the mapping file. Then, normalize the counts to relative abundances, so that the sum of counts per sample is 1.0.

collapse_samples.py -b table.biom -m map.txt --output_biom_fp collapsed-normed.biom --output_mapping_fp collapsed_map.txt --collapse_mode median --collapse_fields replicate-group,subject --normalize