Transcriptologs: A Transcriptome-Based Approach to Predict Orthology Relationships
Author:
Affiliation:
1. Department of Agriculture, University of Naples “Federico II,” Portici, Italy
2. Research Infrastructures for Marine Biological Resources (RIMAR), Stazione Zoologica Anton Dohrn Napoli, Naples, Italy
Abstract
Publisher
SAGE Publications
Subject
Applied Mathematics,Computational Mathematics,Computer Science Applications,Molecular Biology,Biochemistry
Link
http://journals.sagepub.com/doi/pdf/10.1177/1177932217690136
Reference42 articles.
1. OMA 2011: orthology inference among 1000 complete genomes
2. OrthoMCL-DB: querying a comprehensive multi-species collection of ortholog groups
3. OMA, A Comprehensive, Automated Project for the Identification of Orthologs from Complete Genome Data: Introduction and First Achievements
4. Toward community standards in the quest for orthologs
5. Ensembl 2013
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