Metalife Trinity

Metalife Trinity is a comprehensive suite of bioinformatics tools designed to support the life sciences industry in research, data analysis, and knowledge discovery.

It is composed of three main components: 

Metalife Explorer

Metalife BioExplorer:
Metalife BioExplorer automatically compiles detailed dossiers on genes and proteins by integrating information from over 80 public databases. It provides users with quick and easy access to comprehensive data, enhanced with relationships extracted from scientific publications.

Metalife High-Value Sequence Repository:
This repository is an optimized and scalable system designed for large-scale content management and knowledge-based discovery in the pharmaceutical industry. It serves as a central knowledge-based system for information retrieval and submission. 

Metalife Gene Nominator:
An extension of the sequence repository, this tool allows users to evaluate, rank, and filter selected entries in the context of specific laboratory projects. It also supports manual annotation and serves as a central repository for storing various documents related to the entries.

Metalife Predictor

Metalife Genome Comparison Tool:
This tool offers a graphical user interface for large-scale analysis and comparison of genomes, contigs, coding sequences (CDSs), protein sequences, and user-defined regions. It integrates algorithms like BLAST, MegaBLAST, and BLASTZ for pairwise local alignments, allowing users to analyze sequences and their annotations across selected databases. 

Metalife Job Designer:
A dynamic interface that enables users to build custom pipelines of algorithms. With more than 140 bioinformatics algorithms available, users can create predefined workflows, perform high-throughput sequence annotations, and export and store results.

Metalife Analyzer

Metalife Recognition Tool:
This tool performs online analysis of scientific texts to uncover biologically meaningful relationships, such as associations between diseases and drugs. It uses sophisticated linguistically motivated statistical methods, allowing researchers to discover new information that may not be explicitly stated in the documents.

Metalife MetaText:
A text mining tool designed for extracting information from biomedical literature across various knowledge domains. It employs approximately 30 ontology-based vocabularies to support genome, proteome, and metabolome analysis, as well as the study of cell structures, functions, processes, and organism taxonomy.

Each component provides specialized tools that address different aspects of bioinformatics,
allowing users to efficiently manage, analyze, and interpret vast amounts of biological data.