1. Submit a new job.

Using PZLAST, you can search protein sequences against terabytes of public metagenomic data and examine their distribution on Earth.
Go to the top page or click "Query" in navigation tabs (A).

Query File
Only a FASTA-formated file for **protein** sequences is acceptable. (not for DNA sequences) Either a single FASTA or MultiFASTA-formatted file is accepted as input. Paste the input sequence into the box (B) or click the button (C) to select a file.

PZLAST has only one user-adjustable parameter. "Output top N hits" (D) is a parameter that controls how many hits will be output per input sequence. You can set it for top hit (output=1) only, but higher values will give more enjoyable results.

Then press the submit button (E) to register the job.

Input file size limit
All sequences must be >= 10 AA (amino acids) and <= 2,000 AA. The number of input sequences must be <= 10,000. The number of total amino acids must be <= 100,000. The number of possible output must be <= 1,000,000.

After registering the job, the screen changes to the job status page.

This page shows whether the job is currently WATING to execute the calculation on PEZY-SC2 or is RUNNING on it.
This page is refreshed every few seconds. If the calculation is completed (or unfortunately ends with an error or no-hit), this page will automatically transition to the results page.

All jobs are managed with a unique job ID issued at the time of registration.
If you leave this page, press the copy button (A) and copy the job ID to the clipboard (or somewhere else). You can return to this page again by click the "Result" in the navigation tab (B) and entering the job ID. You can also go back to past jobs from the "History" page (C). Please note that jobs are deleted two weeks after registration.

Note: This site uses cookies to record your job history. Only job ID and registration time are recorded in cookie. If "History" is not displayed, please enable cookies in your browser.

Click the "REMOVE THIS JOB" button (D) if you want to delete the waiting job.

2. Result pages.

Information page
When the calculation is completed, this page will be displayed first.

The total number of hits (or the sum of hits when multi-FASTA is input) is displayed in (A).

Press button (B) to download all results in CSV format.

The input information is displayed in (C). All results are distinguished by the sequence ID displayed in "Queries", so remember these IDs when checking the results page below.

Table results
Search results are displayed in a similar tabular format as tools such as BLAST. By default, hit records are arranged in ascending order of E-value per input sequence.

PZLAST displays "in which sample the sequence was hit" instead of individual sequence hits.
(A) is the ID of the input sequence. Clicking on the header of this column will sort the table by query names.
(B) is the SRR accessions of metagenomic samples. Click to jump to the corresponding page of NCBI Sequence Read Archive .
(C) is the corresponding BioSample ID. Click to jump to the corresponding page of MicrobeDB.jp .
(D) For each record, expand the reference protein sequence that the query hit, and the alignment details.
The letters in the alignment mean the following:
'|' ... Match
':' ... BLOSUM62 score > 0
'.' ... BLOSUM62 score = 0
'*' ... BLOSUM62 score < 0

Sample content
Subsequent pages show the results for **each** query sequence. To switch the query, press the button (A) and select the query for which you want to display the results.

This page summarizes the number of hits for each metagenomic sample. A bar chart shows how many sequences in each sample were hit by the query.
Click on the sample ID (B) to jump to the corresponding page on MicrobeDB.jp to learn more about the sample.
By default, all hits are counted, but you can limit the aggregation to only the top hits.(C)

In addition, it is possible to switch to displaying the percentage of hit sequences in each sample instead of the number of hits.(D)(E)

MEO content
In MicrobeDB.jp, all metagenomic samples are annotated by MEO (Metagenome and Microbes Environmental Ontology). MEO is a unified ontology describing what natural or human symbiotic environment the sample was taken from.

This bar chart shows how many samples associated with a given MEO were hit by the query. (the number of samples, not the number of hits.)

Click on the MEO vocabulary (A) to jump to the corresponding MicrobeDB.jp page, where you can find information on typical taxonomic composition of the environment.

Also, like "Sample content" page, it is possible to switch to the display of the percentage of hit samples among the samples with the MEO.(B)(C)

MEO cloud
It is essentially based on the same information as the "MEO content" page, but displayed in the fancy word cloud.
The size of the MEO vocabulary scales proportionally with the number of hit samples.
Click on the MEO vocabulary in the word cloud to jump to the corresponding page of MicrobeDB.jp.

World map
The "locations" of the samples are displayed on the world map.

Note 1: Of the hit samples, this chart displays only the samples for which latitude and longitude information is registered.
Note 2: Latitude and longitude information is described by each researcher when registering it in the public database. It does not necessarily indicate where the sample was taken or where the subject lives.

The more hits the sample has, the bigger the circle is.
On this page, information for multiple queries is displayed at the same time. Different colored circles correspond to different queries (see the legend at the bottom left).
Mouse over the circle to see the information of the sample, such as MEO labels.
Click the circle to jump to the corresponding sample page of MicrobeDB.jp.

Body map
Some human-derived metagenomic samples have FMA (Foundational Model of Anatomy Ontology) ID.
Here, of the samples where the query hit, the human-derived environment is displayed using the BodyParts3D model.

Note: The metagenomic sample does not necessarily target the organ itself. Human fecal samples are often associated with the large intestine.

The higher the number of hits in the sample associated with that organ, the more red the organ will be.
Only bones are always visible, but other organs that have no-hit are not displayed.

Left click to rotate, right click to pan, mouse wheel to zoom.
Using the control panel on the left, you can switch the visibility (A) and adjust the transparency (B) of each displayed organ.