Daisychain: Search and interactive visualisation of homologs in genome assemblies

Oliver Schliebs, Chon Kit Kenneth Chan, Philipp E. Bayer, Jakob Petereit, Ajit Singh, Keywan Hassani-Pak, Jacqueline Batley, David Edwards

Research output: Contribution to journalArticlepeer-review


Daisychain is an interactive graph visualisation and search tool for custom-built gene homology databases. The main goal of Daisychain is to allow researchers working with specific genes to identify homologs in other annotation releases. The gene-centric representation includes local gene neighborhood to distinguish orthologs and paralogs by local synteny. The software supports genome sequences in FASTA format and GFF3 formatted annotation files, and the process of building the homology database requires a minimum amount of user interaction. Daisychain includes an integrated web viewer that can be used for both data analysis and data publishing. The web interface extends KnetMaps.js and is based on JavaScript.

Original languageEnglish
Article number2587
Issue number12
Publication statusPublished - Dec 2021


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