kb_DRAM: annotation and metabolic profiling of genomes with DRAM in KBase

Author:

Shaffer Michael1ORCID,Borton Mikayla A1,Bolduc Ben2,Faria José P3,Flynn Rory M1,Ghadermazi Parsa1,Edirisinghe Janaka N3,Wood-Charlson Elisha M4,Miller Christopher S5ORCID,Chan Siu Hung Joshua1ORCID,Sullivan Matthew B2ORCID,Henry Christopher S3,Wrighton Kelly C1ORCID

Affiliation:

1. Colorado State University , Fort Collins, CO, USA

2. The Ohio State University , Columbus, OH, USA

3. Argonne National Laboratory , Lemont, IL, USA

4. Lawrence Berkeley National Laboratory , Berkeley, CA, USA

5. University of Colorado Denver , Denver, CO, USA

Abstract

AbstractMicrobial genome annotation is the process of identifying structural and functional elements in DNA sequences and subsequently attaching biological information to those elements. DRAM is a tool developed to annotate bacterial, archaeal, and viral genomes derived from pure cultures or metagenomes. DRAM goes beyond traditional annotation tools by distilling multiple gene annotations to genome level summaries of functional potential. Despite these benefits, a downside of DRAM is the requirement of large computational resources, which limits its accessibility. Further, it did not integrate with downstream metabolic modeling tools that require genome annotation. To alleviate these constraints, DRAM and the viral counterpart, DRAM-v, are now available and integrated with the freely accessible KBase cyberinfrastructure. With kb_DRAM users can generate DRAM annotations and functional summaries from microbial or viral genomes in a point-and-click interface, as well as generate genome-scale metabolic models from DRAM annotations.Availability and implementationFor kb_DRAM users, the kb_DRAM apps on KBase can be found in the catalog at https://narrative.kbase.us/#catalog/modules/kb_DRAM. For kb_DRAM users, a tutorial workflow with all documentation is available at https://narrative.kbase.us/narrative/129480. For kb_DRAM developers, software is available at https://github.com/shafferm/kb_DRAM.

Funder

U.S. Department of Energy Office of Science

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

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