henhaobio
Sign in

bioRxivBioinformaticsPreprint

Family-Companion: analyse, visualise, browse, query and share your homology clusters

Ludovic CottretiD, Martial BriandiD, Corinne RancureliD, Sébastien CarrèreiD

PDFDOI

Abstract

Identifying homology groups in predicted proteomes from different biological sources allows biologists to address questions as diverse as inferring species-specific proteins or retracing the phylogeny of gene families. Nowadays, command-line software exists to infer homology clusters. However, computing and interpreting homology groups with this software remains challenging for biologists and requires computational skills.\n\nWe propose Family-Companion, a web server dedicated to the computation, the analysis and the exploration of homology clusters. Family-Companion aims to fill the gap between analytic software and databases presenting orthologous groups based on a set of public data. It offers a user-friendly interface to launch or upload precomputed homology cluster analysis, to explore and share the results with other users. The exploration of the results is highly facilitated by interactive solutions to visualize proteome intersections via Venn diagrams, phylogenetic trees, multiple alignments, and also by querying the results by blast or by keywords.\n\nFamily-Companion is available at http://family-companion.toulouse.inra.fr with a demo dataset and a set of video tutorials. Source code and installation protocol can be found at https://framagit.org/BBRIC/family-companion/. A container-based package simplifies the installation of the web-suite.

Citations
7

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISReguant '20Espinoza-He '26Russo '21Gilchrist '21Bitard‐Feil '18Vivas-Rodrí '26
65% semantic matchBioinformatics
Roc Reguant, Yevgeniy Antipin, Rob Sheridan+5 more·F1000Research·Mar 27, 2020· 11 citations