Domain-task mapping framework for multi-view biodiversity comparative genomics visualization: A systematic literature review
Abstract
Biodiversity genomics research increasingly relies on multi-view visualization tools to support comparative analyses spanning species identification, evolutionary factors, hierarchical taxonomic relationships, wildlife forensics, population structure analysis, and conservation planning, which place distinct demands on visualization design. Despite the growing prevalence of multi-view layouts in the genomics domain, systematic understanding of how they support domain-specific biological goals through task abstractions remains limited. This systematic literature review addresses these gaps by establishing a domain-task mapping framework that explicitly connects biodiversity genomics biological goals to visualization task abstractions through an evidence-based software engineering approach. Applying a dual-task taxonomy that includes genomic-specific tasks and comparative actions, this review analyzed 34 papers identified through a structured search across five databases, using active-learning-assisted screening and an LLM-assisted data-extraction workflow. The results identify characteristic task-flow structures for four biological goals using Markov chain analysis and summarize their universal and unique structural patterns. Furthermore, five challenge-solution themes are documented across the included papers, encompassing visualization, tool features, tasks, data integration, and user interface and experience. These findings provide evidence-based guidance for visualization designers creating biodiversity genomics tools and bioinformaticians seeking to understand how multi-view designs support complex analytical workflows.
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Cites
The Structure and Function of Complex Networks
Newman, M. E. J. (2003) · SIAM Review · doi:10.1137/s003614450342480 · Cited by 18,719 · see citing works
Performing systematic literature reviews in software engineering
Budgen, D., & Brereton, P. (2006) · International Conference on Software Engineering · doi:10.1145/1134285.1134500 · Cited by 8,824 · see citing works
Exploring Network Structure, Dynamics, and Function Using NetworkX
Hagberg, A. A., Schult, D. A., & Swart, P. J. (2008) · Proceedings of the Python in Science Conference · doi:10.25080/tcwv9851 · Cited by 7,477 · see citing works
TBtools-II: A “one for all, all for one” bioinformatics platform for biological big-data mining
Chen, C., Wu, Y., Li, J., Wang, X., Zeng, Z., Xu, J., Liu, Y., Feng, J., Chen, H., He, Y., et al. (2023) · Molecular Plant · doi:10.1016/j.molp.2023.09.010 · Cited by 4,057 · see citing works
Statistical Inference about Markov Chains
Anderson, T. W., & Goodman, L. A. (1957) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177707039 · Cited by 1,417 · see citing works
Environmental DNA for wildlife biology and biodiversity monitoring.
Bohmann, K., Evans, A. R., Gilbert, M. T. P., Carvalho, G., Creer, S., Knapp, M., Yu, D. W., & de Bruyn, M. (2014) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2014.04.003 · Cited by 1,274 · see citing works
Earth BioGenome Project: Sequencing life for the future of life
Lewin, H. A., Robinson, G. E., Kress, W. J., Baker, W. J., Coddington, J., Crandall, K. A., Durbin, R., Edwards, S. V., Forest, F., Gilbert, M. T. P., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1720115115 · Cited by 962 · see citing works
JBrowse 2: a modular genome browser with views of synteny and structural variation
Diesh, C. M., Stevens, G., Xie, P., Martinez, T. D. J., Hershberg, E. A., Leung, A., Guo, E., Dider, S., Zhang, J., Bridge, C., et al. (2023) · Genome biology · doi:10.1186/s13059-023-02914-z · Cited by 850 · see citing works
A Multi-Level Typology of Abstract Visualization Tasks
Brehmer, M., & Munzner, T. (2013) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2013.124 · Cited by 745 · see citing works
Gleich, D. F. (2015) · SIAM Review · doi:10.1137/140976649 · Cited by 656 · see citing works
OrthoVenn3: an integrated platform for exploring and visualizing orthologous data across genomes
Sun, J., Lü, F., Luo, Y., Bie, L., Xu, L., & Wang, Y. (2023) · Nucleic Acids Research · doi:10.1093/nar/gkad313 · Cited by 536 · see citing works
How genomics can help biodiversity conservation
Theissinger, K., Fernandes, C., Formenti, G., Bista, I., Berg, P. R., Bleidorn, C., Bombarely, A., Crottini, A., Gallo, G. R., Godoy, J. A., et al. (2023) · Trends in Genetics · doi:10.1016/j.tig.2023.01.005 · Cited by 401 · see citing works
PPanGGOLiN: Depicting microbial diversity via a partitioned pangenome graph
Gautreau, G., Bazin, A., Gachet, M., Planel, R., Burlot, L., Dubois, M., Perrin, A., Médigue, C., Calteau, A., Cruveiller, S., et al. (2020) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007732 · Cited by 282 · see citing works
Artificial intelligence for literature reviews: opportunities and challenges
Bolaños, F., Salatino, A., Osborne, F., & Motta, E. (2024) · Artificial Intelligence Review · doi:10.1007/s10462-024-10902-3 · Cited by 246 · see citing works
Considerations for Visualizing Comparison
Gleicher, M. L. (2017) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2017.2744199 · Cited by 199 · see citing works
IPGA: A handy integrated prokaryotes genome and pan‐genome analysis web service
Liu, D., Zhang, Y., Fan, G., Sun, D., Zhang, X., Yu, Z., Wang, J., Wu, L., Shi, W., & Ma, J. (2022) · iMeta · doi:10.1002/imt2.55 · Cited by 180 · see citing works
A critical review on the utility of DNA barcoding in biodiversity conservation
Krishnamurthy, P. K., & Francis, R. A. (2012) · Biodiversity and Conservation · doi:10.1007/s10531-012-0306-2 · Cited by 173 · see citing works
Visualizing genomes: techniques and challenges
Nielsen, C. B., Cantor, M., Dubchak, I. L., Gordon, D., & Wang, T. (2010) · Nature Methods · doi:10.1038/nmeth.1422 · Cited by 167 · see citing works
Medlar, A. J., Törönen, P., & Holm, L. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky359 · Cited by 166 · see citing works
An Empirical Study on Using Visual Embellishments in Visualization
Borgo, R., Abdul‐Rahman, A., Mohamed, F., Grant, P. W., Reppa, I., Floridi, L., & Chen, M. (2012) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2012.197 · Cited by 160 · see citing works
Self-citationSynMap2 and SynMap3D: web-based whole-genome synteny browsers
Haug-Baltzell, A. K., Stephens, S. A., Davey, S. W., Scheidegger, C., & Lyons, E. H. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx144 · Cited by 160 · see citing works
Interspecific Gene Flow Shaped the Evolution of the Genus Canis
Gopalakrishnan, S., Sinding, M. S., Ramos‐Madrigal, J., Niemann, J., Castruita, J. A. S., Vieira, F. G., Carøe, C., de Manuel, M., Kuderna, L. F. K., Serres, A., et al. (2018) · Current Biology · doi:10.1016/j.cub.2018.08.041 · Cited by 150 · see citing works
Boetje, J., & van de Schoot, R. (2024) · Systematic Reviews · doi:10.1186/s13643-024-02502-7 · Cited by 146 · see citing works
GenoVi, an open-source automated circular genome visualizer for bacteria and archaea
Cumsille, A., Durán, R. E., Rodríguez-Delherbe, A., Saona-Urmeneta, V., Cámara, B., Seeger, M., Araya, M., Jara, N., & Buil-Aranda, C. (2023) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1010998 · Cited by 140 · see citing works
Tasks, Techniques, and Tools for Genomic Data Visualization
Nusrat, S., Harbig, T. A., & Gehlenborg, N. (2019) · Computer Graphics Forum · doi:10.1111/cgf.13727 · Cited by 125 · see citing works
Pavlopoulos, G. A., Malliarakis, D., Papanikolaou, N., Θεοδοσίου, Θ., Enright, A. J., & Iliopoulos, I. (2015) · GigaScience · doi:10.1186/s13742-015-0077-2 · Cited by 113 · see citing works
AliTV—interactive visualization of whole genome comparisons
Ankenbrand, M. J., Hohlfeld, S. C. Y., Hackl, T., & Förster, F. (2017) · PeerJ Computer Science · doi:10.7717/peerj-cs.116 · Cited by 101 · see citing works
Visualizing multidimensional cancer genomics data
Schroeder, M. P., González-Pérez, A., & López-Bigas, N. (2013) · Genome Medicine · doi:10.1186/gm413 · Cited by 94 · see citing works
Visualization of Biomedical Data
O’Donoghue, S. I., Baldi, B. F., Clark, S. J., Darling, A. E., Hogan, J. M., Kaur, S., Maier‐Hein, L., McCarthy, D. J., Moore, W. J., Stenau, E., et al. (2018) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-080917-013424 · Cited by 87 · see citing works
Dong, M., Luo, H., & Gao, F. (2022) · Genomics Proteomics & Bioinformatics · doi:10.1016/j.gpb.2022.10.002 · Cited by 81 · see citing works
Gosling: A Grammar-based Toolkit for Scalable and Interactive Genomics Data Visualization
LYi, S., Wang, Q., Lekschas, F., & Gehlenborg, N. (2021) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2021.3114876 · Cited by 79 · see citing works
Ramani, R., Krumholz, K., Huang, Y.-F., & Siepel, A. C. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty966 · Cited by 73 · see citing works
Growing and cultivating the forest genomics database, TreeGenes
Falk, T., Herndon, N., Grau, E. S., Buehler, S. A., Richter, P., Zaman, S., Baker, E. M., Ramnath, R., Ficklin, S. P., Staton, M. E., et al. (2018) · Database · doi:10.1093/database/bay084 · Cited by 66 · see citing works
Software tools for visualizing Hi-C data
Yardımcı, G. G., & Noble, W. S. (2017) · Genome biology · doi:10.1186/s13059-017-1161-y · Cited by 62 · see citing works
Visualizing metagenomic and metatranscriptomic data: A comprehensive review
Aplakidou, E., Vergoulidis, N., Chasapi, M. N., Venetsianou, N. K., Kokoli, M., Panagiotopoulou, E., Iliopoulos, I., Karatzas, E., Pafilis, E., Georgakopoulos‐Soares, I., et al. (2024) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2024.04.060 · Cited by 62 · see citing works
Exploranation: A New Science Communication Paradigm
Ynnerman, A., Löwgren, J., & Tibell, L. A. E. (2018) · IEEE Computer Graphics and Applications · doi:10.1109/mcg.2018.032421649 · Cited by 57 · see citing works
An expanded mammal mitogenome dataset from Southeast Asia
Salleh, F. M., Ramos‐Madrigal, J., Peñaloza, F., Liu, S., Sinding, M. S., Patel, R. P., Martins, R., Lenz, D., Fickel, J., Roos, C., et al. (2017) · GigaScience · doi:10.1093/gigascience/gix053 · Cited by 47 · see citing works
Self-citationRepeatProfiler: A pipeline for visualization and comparative analysis of repetitive DNA profiles
Negm, S., Greenberg, A., Larracuente, A. M., & Sproul, J. S. (2020) · Molecular Ecology Resources · doi:10.1111/1755-0998.13305 · Cited by 45 · see citing works
OpenSpace: A System for Astrographics
Böck, A., Axelsson, E., Costa, J., Payne, G., Acinapura, M., Trakinski, V., Emmart, C., Silva, C. T., Hansen, C., & Ynnerman, A. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2934259 · Cited by 41 · see citing works
iHam and pyHam: visualizing and processing hierarchical orthologous groups
Train, C. M., Pignatelli, M., Altenhoff, A., et al. (2018) · Bioinformatics · doi:10.1093/bioinformatics/bty994 · Cited by 39 · see citing works
An object-oriented framework for evolutionary pangenome analysis
Ferrés, I., & Iraola, G. (2021) · Cell Reports Methods · doi:10.1016/j.crmeth.2021.100085 · Cited by 31 · see citing works
Visual Analytics of Genomic and Cancer Data: A Systematic Review
Qu, Z., Lau, C. W., Nguyễn, Q. V., Zhou, Y., & Catchpoole, D. R. (2019) · Cancer Informatics · doi:10.1177/1176935119835546 · Cited by 30 · see citing works
Utilizing Markov Chains to Understand Operation Sequencing in Design Tasks
McComb, C., Cagan, J., & Kotovsky, K. (2017) · Springer eBooks · doi:10.1007/978-3-319-44989-0_22 · Cited by 28 · see citing works
geneCo: a visualized comparative genomic method to analyze multiple genome structures
Jung, J., Kim, J. I., & Yi, G. (2019) · Bioinformatics · doi:10.1093/bioinformatics/btz596 · Cited by 28 · see citing works
Xiao, Z., & Lam, H. (2022) · Bioinformatics · doi:10.1093/bioinformatics/btac503 · Cited by 27 · see citing works
PlantTribes2: Tools for comparative gene family analysis in plant genomics
Wafula, E. K., Zhang, H., Kuster, G. V., Leebens‐Mack, J., Honaas, L. A., & dePamphilis, C. W. (2023) · Frontiers in Plant Science · doi:10.3389/fpls.2022.1011199 · Cited by 27 · see citing works
SoIR: a comprehensive Solanaceae information resource for comparative and functional genomic study
Liu, Z., Shen, S., Li, C., Zhang, C., Chen, X., Fu, Y., Yu, T., Zhou, R., Liu, D., Yang, Q., et al. (2024) · Nucleic Acids Research · doi:10.1093/nar/gkae1040 · Cited by 26 · see citing works
Rangwala, S. H., Rudnev, D., Ananiev, V., Oh, D., Asztalos, A., Benica, B., Borodin, E. A., Bouk, N., Evgeniev, V. I., Kodali, V. K., et al. (2024) · PLoS Biology · doi:10.1371/journal.pbio.3002405 · Cited by 23 · see citing works
Multi-View Design Patterns and Responsive Visualization for Genomics Data
L’Yi, S., & Gehlenborg, N. (2022) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2022.3209398 · Cited by 22 · see citing works
How to Read a Visualization Research Paper: Extracting the Essentials
Laramee, R. S. (2011) · IEEE Computer Graphics and Applications · doi:10.1109/mcg.2011.44 · Cited by 19 · see citing works
Manzoor, F., Tsurgeon, C. A., & Gupta, V. (2025) · Bioengineering · doi:10.3390/bioengineering12010056 · Cited by 16 · see citing works
Visualization tools for human structural variations identified by whole-genome sequencing
Yokoyama, T., & Kasahara, M. (2019) · Journal of Human Genetics · doi:10.1038/s10038-019-0687-0 · Cited by 14 · see citing works
Zhang, M., & Andersson, B. (2023) · Educational Assessment · doi:10.1080/10627197.2023.2222585 · Cited by 13 · see citing works
EvolClustDB: Exploring Eukaryotic Gene Clusters with Evolutionarily Conserved Genomic Neighbourhoods
Marcet‐Houben, M., Collado-Cala, I., Fuentes, D., Gómez, A. D., Molina, M., Garisoain-Zafra, A., Chorostecki, U., & Gabaldón, T. (2023) · Journal of Molecular Biology · doi:10.1016/j.jmb.2023.168013 · Cited by 12 · see citing works
Zhuo, X., Hsu, S., Purushotham, D., Kuntala, P. K., Harrison, J. K., Du, A. Y., Chen, S., Li, D., & Wang, T. (2023) · Genome Research · doi:10.1101/gr.277550.122 · Cited by 12 · see citing works
PanVA: Pangenomic Variant Analysis
van den Brandt, A., Jonkheer, E. M., van Workum, D. M., van de Wetering, H., Smit, S., & Vilanova, A. (2023) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2023.3282364 · Cited by 12 · see citing works
Hierarchical sets: analyzing pangenome structure through scalable set visualizations
Pedersen, T. L. (2017) · Bioinformatics · doi:10.1093/bioinformatics/btx034 · Cited by 11 · see citing works
Jamaludin, N. A. B., Mohamed, F., Chan, V. S., Sunar, M. S., Selamat, A., Krejcar, O., & Iglesias, A. (2023) · Journal of Cases on Information Technology · doi:10.4018/jcit.323799 · Cited by 10 · see citing works
Self-citationCOGNAT: a web server for comparative analysis of genomic neighborhoods
Klimchuk, O. I., Konovalov, K. A., Perekhvatov, V. V., Skulachev, K. V., Dibrova, D. V., & Mulkidjanian, A. Y. (2017) · Biology Direct · doi:10.1186/s13062-017-0196-z · Cited by 9 · see citing works
Hermansen, R. A., Oswald, B. P., Knight, S. J., Shank, S. D., Northover, D., Korunes, K. L., Michel, S. N., & Liberles, D. A. (2017) · Journal of Molecular Evolution · doi:10.1007/s00239-017-9806-8 · Cited by 8 · see citing works
Plasmobase: a comparative database of predicted domain architectures for Plasmodium genomes
Bernardes, J., Vaquero, C., & Carbone, A. (2017) · Malaria Journal · doi:10.1186/s12936-017-1887-8 · Cited by 6 · see citing works
Christie, N., Mannapperuma, C., Ployet, R., van der Merwe, K., Mähler, N., Delhomme, N., Naidoo, S., Mizrachi, E., Street, N. R., & Myburg, A. A. (2021) · BMC Bioinformatics · doi:10.1186/s12859-021-04514-9 · Cited by 6 · see citing works
DrosOMA: the Drosophila Orthologous Matrix browser
Thiébaut, A., Altenhoff, A., Campli, G., Glover, N., Dessimoz, C., & Waterhouse, R. M. (2024) · F1000Research · doi:10.12688/f1000research.135250.2 · Cited by 6 · see citing works
Visualization Methods for DNA Sequences: A Review and Prospects
Tan, L., Li, M., Wu, Y. L., & Li, Y. (2024) · Biomolecules · doi:10.3390/biom14111447 · Cited by 5 · see citing works
Designing and Evaluating Scientific Workflows for Big Data Interactions
Etemadpour, R., Bomhoff, M., Lyons, E. H., Murray, P., & Forbes, A. G. (2015) · Big Data Visual and Immersive Analytics · doi:10.1109/bdva.2015.7314290 · Cited by 4 · see citing works
Getting insight into the pan-genome structure with PangTree
Dziadkiewicz, P., & Dojer, N. (2020) · BMC Genomics · doi:10.1186/s12864-020-6610-4 · Cited by 4 · see citing works
MyDNAmark.org: A Comprehensive Genomic Visualisation Database for Malaysian Species
Chan, V. S., Mohamed, F., Salleh, F. M., Iglesias, A., Wagiran, A., & Selamat, A. (2022) · IEEE International Conference on Computing (ICOCO) · doi:10.1109/icoco56118.2022.10031981 · Cited by 3 · see citing works
Self-citationCombining Strengths for Multi-genome Visual Analytics Comparison
Díaz-del-Pino, S., Rodríguez-Brazzarola, P., Pérez-Wohlfeil, E., & Trelles, O. (2019) · Bioinformatics and Biology Insights · doi:10.1177/1177932218825127 · Cited by 2 · see citing works
The first mitochondrial genome data of an old world fruit bat, Cynopterus sphinx from Malaysia
Jahari, P. N. S., Azman, S. M., Munian, K., Alwani, N. Z., Shamsir, M. S., Richter, S. R., & Salleh, F. M. (2021) · Mitochondrial DNA Part B · doi:10.1080/23802359.2020.1846472 · Cited by 2 · see citing works
Self-citationDrosOMA: the Drosophila Orthologous Matrix browser
Thiébaut, A., Altenhoff, A., Campli, G., Glover, N., Dessimoz, C., & Waterhouse, R. M. (2023) · F1000Research · doi:10.12688/f1000research.135250.1 · Cited by 2 · see citing works
Miga, M., Rahman, A. A. A., Parimannan, S., Rajandas, H., Sitam, F. T., Tokiman, L., Kemalok, J., Shamsir, M. S., & Salleh, F. M. (2025) · Mitochondrial DNA Part B · doi:10.1080/23802359.2025.2509807 · Cited by 2 · see citing works
Self-citationChan, V. S., Mohamed, F., Salleh, F. M., Iglesias, A., Jamaludin, N. A. B., & Albakri, I. F. A. M. (2024) · IEEE International Conference on Computing (ICOCO) · doi:10.1109/icoco62848.2024.10928255 · Cited by 1 · see citing works
Self-citationDecoding the Spatial Genome: A Review of 3D Genome Visualization Technologies
Dhanushkodi, K., & Bala, A. (2025) · IEEE Access · doi:10.1109/access.2025.3646020 · Cited by 1 · see citing works
Flagged first, then by citations
Research works printed but not linked: 5
- Mohamed F. Metaphoric visualisation. PhD Thesis, Swansea University, 2014.
- Bandi V, Gutwin C. Interactive exploration of genomic conservation. In: Graphics interface 2020, 2020, pp.1–10. ACM.
- Johansson H Khullar S. Graphical user interfaces for multi-touch displays supporting public exploration and guided storytelling of astronomical visualizations. Master Thesis Linköping University https://www.diva-portal.org/smash/record.jsf?pid=diva2%3A1270021&dswid=-3018 (2018 accessed 8 April 2024).
- Mckenna S Lex A Meyer M. Worksheets for guiding novices through the visualization design process. arXiv preprint arXiv:170905723 2017; 1–5.
- McNabb L, Laramee RS. How to write a visualization survey paper: A starting point. In: European association for computer graphics–40th annual conference, EUROGRAPHICS 2019 - education papers, 2019, pp.29–39.
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Still being checked.
- Authors
- Chan, V. S., Mohamed, F. B., Salleh, F. B. M., Iglesias, A., Abdul-Rahman, A., Miga, M., Najjar, F. H., & Cao, C.
- Affiliations
- Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia
- University of Technology Malaysia (MY)
- Department of Biosciences, Faculty of Science, Universiti Teknologi Malaysia, Johor Bahru, Johor, Malaysia
- Department of Applied Mathematics and Computational Sciences, University of Cantabria, Santander, Spain
- Department of Informatics, King’s College London, UK
- Al-Furat Al-Awsat Technical University (IQ)
- Corresponding author
- Mohamed, Farhan Bin
- ORCID
- Venue
- Information Visualization
- Publisher
- SAGE Publications
- Published
- 2026-10-25
- ISSN
- 1473-8716 (ISSN-L)
- 1473-8724
- OpenAlex
- W7223571352
- Cited by
- 0
- References
- 73
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Information Visualization (publishedVersion)
- Funders
- Geran Penyelidikan Hi-Tech (Q.J130000.4628.00Q50)
- Computer Science National Program (#PID2021-127073OB-I00)
- HORIZON EUROPE Marie Sklodowska-Curie Actions (778035)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Data Visualization and Analytics
- Social Sciences › Decision Sciences › Information Systems and Management › Scientific Computing and Data Management
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- multi-view visualization, biodiversity genomics, comparative genomics, taxonomic relationships, wildlife forensics, population structure analysis, conservation planning, visualization design, data integration
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