Koci, Orges and Russell, Richard K. and Shaikh, M. Guftar and Edwards, Christine and Gerasimidis, Konstantinos and Ijaz, Umer Zeeshan (2024) CViewer: a Java-based statistical framework for integration of shotgun metagenomics with other omics datasets. Microbiome, 12 (1): 117. ISSN 2049-2618
AI Summary:
CViewer is a Java-based statistical framework that integrates seamlessly with conventional pipelines. It offers exploratory as well as hypothesis-driven analyses, making it a powerful tool for analyzing multiomics datasets.AI Topics:
Background:
Shotgun metagenomics for microbial community survey recovers enormous amount of information for microbial genomes that include their abundances, taxonomic, and phylogenetic information, as well as their genomic makeup, the latter of which then helps retrieve their function based on annotated gene products, mRNA, protein, and metabolites. Within the context of a specific hypothesis, additional modalities are often included, to give host-microbiome interaction. For example, in human-associated microbiome projects, it has become increasingly common to include host immunology through flow cytometry. Whilst there are plenty of software approaches available, some that utilize marker-based and assembly-based approaches, for downstream statistical analyses, there is still a dearth of statistical tools that help consolidate all such information in a single platform. By virtue of stringent computational requirements, the statistical workflow is often passive with limited visual exploration.
Results:
In this study, we have developed a Java-based statistical framework (https://github.com/KociOrges/cviewer) to explore shotgun metagenomics data, which integrates seamlessly with conventional pipelines and offers exploratory as well as hypothesis-driven analyses. The end product is a highly interactive toolkit with a multiple document interface, which makes it easier for a person without specialized knowledge to perform analysis of multiomics datasets and unravel biologically relevant patterns. We have designed algorithms based on frequently used numerical ecology and machine learning principles, with value-driven from integrated omics tools which not only find correlations amongst different datasets but also provide discrimination based on case–control relationships.
Conclusions:
CViewer was used to analyse two distinct metagenomic datasets with varying complexities. These include a dietary intervention study to understand Crohn’s disease changes during a dietary treatment to include remission, as well as a gut microbiome profile for an obesity dataset comparing subjects who suffer from obesity of different aetiologies and against controls who were lean. Complete analyses of both studies in CViewer then provide very powerful mechanistic insights that corroborate with the published literature and demonstrate its full potential.
Koci, Orges
Author
Lamb, Kieran D. and Hughes, Joseph and Lytras, Spyros and Young, Francesca and Koci, Orges and Herzig, James and Lovell, Simon C, and Grove, Joe and Yuan, Ke and Robertson, David L. (2024) From a single sequence to evolutionary trajectories: protein language models capture the evolutionary potential of SARS-CoV-2 protein sequences. bioRxiv.
Koci, Orges and Russell, Richard K. and Shaikh, M. Guftar and Edwards, Christine and Gerasimidis, Konstantinos and Ijaz, Umer Zeeshan (2024) CViewer: a Java-based statistical framework for integration of shotgun metagenomics with other omics datasets. Microbiome, 12 (1): 117. ISSN 2049-2618
See full publications listRussell, Richard K.
Author
Koci, Orges and Russell, Richard K. and Shaikh, M. Guftar and Edwards, Christine and Gerasimidis, Konstantinos and Ijaz, Umer Zeeshan (2024) CViewer: a Java-based statistical framework for integration of shotgun metagenomics with other omics datasets. Microbiome, 12 (1): 117. ISSN 2049-2618
Nichols, Ben and Briola, Anny and Logan, Michael and Havlik, Jaroslav and Mascellani, Anna and Gkikas, Konstantinos and Milling, Simon and Ijaz, Umer Zeeshan and Quince, Christopher and Svolos, Vaios and Russell, Richard K. and Hansen, Richard and Gerasimidis, Konstantinos (2024) Gut metabolome and microbiota signatures predict response to treatment with exclusive enteral nutrition in a prospective study in children with active Crohn’s disease. American Journal of Clinical Nutrition, 119 (4). pp. 885-895. ISSN 0002-9165
See full publications listShaikh, M. Guftar
Author
Koci, Orges and Russell, Richard K. and Shaikh, M. Guftar and Edwards, Christine and Gerasimidis, Konstantinos and Ijaz, Umer Zeeshan (2024) CViewer: a Java-based statistical framework for integration of shotgun metagenomics with other omics datasets. Microbiome, 12 (1): 117. ISSN 2049-2618
See full publications listEdwards, Christine
Author
Koci, Orges and Russell, Richard K. and Shaikh, M. Guftar and Edwards, Christine and Gerasimidis, Konstantinos and Ijaz, Umer Zeeshan (2024) CViewer: a Java-based statistical framework for integration of shotgun metagenomics with other omics datasets. Microbiome, 12 (1): 117. ISSN 2049-2618
See full publications listGerasimidis, Konstantinos
Author
Bibi, Sara and Kerbiriou, Caroline and Uzma and Mckirdy, Shona and Kostrytsia, Anastasiia and Rasheed, Hifza and Eqani, Syed Ali Musstjab Akber Shah and Gerasimidis, Konstantinos and Nurulain, Syed Muhammad and Ijaz, Umer Zeeshan (2024) Gut microbiome and function are altered for individuals living in high fluoride concentration areas in Pakistan. Ecotoxicology and Environmental Safety, 284: 116959. ISSN 0147-6513
Koci, Orges and Russell, Richard K. and Shaikh, M. Guftar and Edwards, Christine and Gerasimidis, Konstantinos and Ijaz, Umer Zeeshan (2024) CViewer: a Java-based statistical framework for integration of shotgun metagenomics with other omics datasets. Microbiome, 12 (1): 117. ISSN 2049-2618
Jatkowska, Aleksandra and Gkikas, Konstantinos and Nichols, Ben and Short, Bryn and Rizou, Vasiliki-Konstantina and Kapranos, Panagiotis and Klein Gunnewiek, Jennier and Christina, Edelyn and Svolos, Vaios and Quince, Christopher and Gerasimidis, Konstantinos (2024) Dose-dependent effects of enteral nutrition on the faecal microbiota and short chain fatty acids. Clinical Nutrition, 43 (5). pp. 1200-1207. ISSN 0261-5614
See full publications listIjaz, Umer
Author
Cholet, Fabien and Vignola, Marta and Quinn, Dominic and Ijaz, Umer Z. and Sloan, William T. and Smith, Cindy J. (2025) Microbial ecology of drinking water biofiltration based on 16S rRNA sequencing: a meta-analysis. Water Research, 281: 123684. ISSN 0043-1354
Saleem, Farrukh and Ameer, Aqsa and Afzal, Farhan and Usman, Muhammad and Irshad, Hamid and Sattar, Sadia and Ijaz, Umer Zeeshan and Javed, Sundus (2025) A cross-sectional survey of poultry management systems, practices and antimicrobial use in relation to disease outbreak in Pakistan. BMC Research Notes, 18: 144. ISSN 1756-0500
Badar, Ayesha and Aqueel, Rhea and Nawaz, Ali and Ijaz, Umer Zeeshan and Malik, Kauser Abdulla (2025) Microbiota transplantation for Cotton Leaf Curl Disease suppression - core microbiome and transcriptome dynamics. Communications Biology, 8 (1): 380. ISSN 2399-3642
See full publications listAvailable under License Creative Commons Attribution.
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