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Metagenome@Kin: 16S rRNA・ITS Metagenome Analysis Software

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All analysis is completed on Windows

Software tool of Taxonomy ID annotations, collections, and statistical processes from a BLAST/RDP Classifier result

Metagenome@KIN is a 16S rRNA genome analytic tool which utilizes high-performance sequence data.

This tool executes grouping of bacterial species and hierarchical classification by drag-and-drop data, exported as a BLAST or RDP MultiClassifier result of read sequences, onto the World Fusion’s software.

Additionally, this tool enables users to compare the categorized result under each statistical feature. OTU function is also available.

Function List
  • A list of Taxonomy IDs for each class from a BLAST or RDP Classifier result

  • Metagenome analysis for bacteria or fungi

  • Users can set up a filter, such as the number of mismatched bases in sequences from a BLAST result and the number of gap bases

  • Once purchasing the software, it comes with a BLAST tool and a RDP Classifier without extra charges

  • Confidence Value of a RDP Classifier result can be used as a filtering item

  • Hierarchical classification based onTaxonomy database rules and classification through OTU feature

  • A donut graph, pie graphs, and bar graphs will be automatically created

  • Classified collection of a pie graph for each class

  • Classified collection of a bar graph for each class

  • The number of reads for each sample for each class

  • Statistical analysis - SOM, PCA, PCoA, and hierarchical clustering 

  • Calculation of alpha diversity 

  • A result will be exported in a tab-separated text format

  • Users can check a result without the software using an analysis result in a HTML report

  • User friendly analysis operations

  • 16S rRNA database will be provided (contact us for other databases)

Pie chart
Pie chart

Pie chart or spread sheet for each class from species to Super kingdom

press to zoom
OTU
OTU

Bacterial species not found in Blast Database are also used for analysis

press to zoom
Hierarchical clustering
Hierarchical clustering

press to zoom
Pie chart
Pie chart

Pie chart or spread sheet for each class from species to Super kingdom

press to zoom
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Specification

CPU:Core i5/ i7 or higher(8th generation or higher is recommended)

Memory:16Gb or higher is recommended

Storage: 1Tb or higher is recommended

O  S   : Windows 10 64bit 

Need third party tools:

 R 3.1 or later

 Java 8 or later

License

Perpetual / PC

Analysis workflow
1. Sequence data
  • Sequence data, supported for this software, is a Fastq file provided by Life Technologies Inc, Illumina Inc, or Oxford Nanopore Inc.

2. Pre-Process
  • Reads, exported from a high performance sequencer, will undergo Quality Check, primer sequencing, adaptor sequencing, and Tag sequence trimming in advance.

3. Execution of BLAST/RDP MultiClassifier
  • By using 16S rRNA database, users need to set up conditions on the BLAST execution window. If RDP MultiClassifier is necessary, the free tool will be provided along with the Blast program.

QC/Blast tool

・Pair-end merge

・QC Trimming

・Execution of BLAST/RDP MultiClassifier

・Classification through OTU feature

Step1. Determination of Taxonomy using QC/Blast tool
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Step2

By drag-and-drop a BLAST result or a RDP MultiClassifier result onto the analysis result

4. Hierarhical Classification 
  • By drag-and-drop a BLAST result or a RDP MultiClassifier result onto the analysis result, automatically a list of NCBI Taxonomy ID annotations, a donut graph, pie graphs, and bar graphs for each sample, based on the hierarchical classification rules from the Taxonomy database, will be created. 

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5. Comparison Between Samples for Each Class. 
  • When multiple samples were analyzed, they can be comparable between samples using a pie graph or a bar graph for each class.

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Statistical Process

Following statistical analysis will be automatically created to compare multiple samples from either a BLAST or a RDP Classifier result

  • Principal Component Analysis (PCA) - 2D, 3D interactive, 3D annimation, PCoA

  • Self-organization map (SOM)

  • Hierarchical clustering 

  • α diversity calculation

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Trial

We provide a 2-weeks trial of this program. 

Fill out the form, then we will send download link. 

Metagenome@KIN_J.Zip (424.7 MB)

Specification

CPU:Core i5/ i7 or higher(8th generation or higher is recommended)

Memory:16Gb or higher is recommended

Storage: 1Tb or higher is recommended

O  S   : Windows 10 64bit 

Need third party tools:

 R 3.1 or later

 Java 8 or later