Author

Mario Caccamo

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Genomics· 2 Plant Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Assay:whole-genome sequencing· 3 Approach:experimental assay· 2 Research Focus:genome assembly· 2 Research Focus:variant calling· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1

Frequent Co-Authors

Anne EdwardsiD· 1 shared Anthony Hall· 1 shared Bernardo ClavijoiD· 1 shared Bruno Santos· 1 shared Christine Sambles· 1 shared Cong Nguyen Phi· 1 shared Cuong Duy Tran· 1 shared Dan MacLeaniD· 1 shared

Activity by Year

2014-2020 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperGenomics

Anne EdwardsORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Evidence of selection, adaptation and untapped diversity in Vietnamese rice landraces

Janet Higgins, Bruno Santos, Tran Dang Khanh, Khuat Huu Trung, Tran Duy Duong, Nguyen Thi Phuong Doai, Nguyen Truong Khoa, Dang Thi Thanh Ha, Nguyen Thuy Diep, Kieu Thi Dung, Cong Nguyen Phi, Tran Thi Thuy, Nguyen Thanh Tuan, Hoang Dung Tran, Nguyen Thanh Trung, , Jose De Vega

The paper analyzes Vietnamese rice genomes to identify genetic diversity, subpopulations, and selected genomic regions for breeding resilient rice varieties.

bioRxiv · Jul 7, 2020Plant Biology

gEVAL - A web based browser for evaluating genome assemblies

William Chow, Kim Brugger, Mario Caccamo, Ian Sealy, James Torrance, Kerstin Howe

gEVAL is a web browser for evaluating genome assemblies by comparing them to datasets and highlighting errors and areas for improvement.

bioRxiv · Feb 2, 2016Genomics

Crowdsourced analysis of ash and ash dieback through the Open Ash Dieback project: A year 1 report on datasets and analyses contributed by a self-organising community.

Diane Saunders, Kentaro Yoshida, Christine Sambles, Rachel Glover, Bernardo Clavijo, Manuel Corpas, Daniel Bunting, Suomeng Dong, Ghanasyam Rallapalli, Matthew D. Clark, David Swarbreck, Sarah Ayling, Matthew Bashton, Steve Collin, Tsuyoshi Hosoya, , Dan MacLean

The paper reports on a crowdsourced project analyzing ash dieback fungus data, revealing insights into its genome and biology through community contributions.

bioRxiv · Aug 4, 2014 · PreprintGenomics