cjneely10 / MetaSanity

Pipeline for major biological analyses.
GNU General Public License v3.0
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MetaSanity v1.3.0

About

MetaSanity v1.3.0 provides a unified workflow for genome assessment and functional annotation that combines all outputs into a single queryable database.


Looking to annotate large numbers of eukaryotic genomes or MAGs? Check out EukMetaSanity!


Installing MetaSanity

MetaSanity is installable through Conda. See the wiki page for complete installation instructions.

PhyloSanity

Evaluate MAGs for completion and contamination using CheckM, and evaluate redundancy using FastANI. Optionally predict phylogeny using GTDB-Tk.

FuncSanity

Customize a functional annotation pipeline to include PROKKA, KEGG, InterProScan, the carbohydrate-active enzymes (CAZy) database, and the MEROPS database. Optionally, MEROPS matches can be filtered to target predicted outer membrane and extracellular proteins using PSORTb and SignalP4.1. KEGG results are processed through KEGG-Decoder to provide visual heatmaps of metabolic functions and pathways.

BioMetaDB

BioMetaDB is a specialized relational database management system (RDBMS) project that integrates modularized storage and retrieval of FASTA records with the metadata describing them. This application uses tab-delimited data files to generate table relation schemas via Python3. Based on SQLAlchemy, BioMetaDB allows researchers to efficiently manage data from the command line by providing operations that include

Output from both workflows is stored into a BioMetaDB project, providing users a simple interface to comprehensively examine their data. Users can query application results used across the entire genome set for specific information that is relevant to their research, allowing the potential to screen genomes based on returned taxonomy, quality, annotation, putative metabolic function, or any combination thereof.

Examples

Output a list, FASTA contigs, or FASTA proteins for:

PhyloSanity and FuncSanity have large download requirements, making high-powered personal computers and academic servers the best option for running its analyses. Once complete, the results can be analyzed using BioMetaDB on any computer that supports Python3.

Licensing notes

The use of SignalP4.1 and RNAmmer1.2 requires accepting an additional academic license agreement upon download. Binaries for these programs are thus not distributed with MetaSanity.

Citations

MetaSanity would not be possible without the open-source contributions of several research teams. Please include the following citations when using MetaSanity:

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