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Braun R, Tfirn M, Ford RM. Listening to life: Sonification for enhancing discovery in biological research. Biotechnol Bioeng 2024. [PMID: 38678506 DOI: 10.1002/bit.28729] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 04/05/2024] [Accepted: 04/16/2024] [Indexed: 05/01/2024]
Abstract
Sonification, or the practice of generating sound from data, is a promising alternative or complement to data visualization for exploring research questions in the life sciences. Expressing or communicating data in the form of sound rather than graphs, tables, or renderings can provide a secondary information source for multitasking or remote monitoring purposes or make data accessible when visualizations cannot be used. While popular in astronomy, neuroscience, and geophysics as a technique for data exploration and communication, its potential in the biological and biotechnological sciences has not been fully explored. In this review, we introduce sonification as a concept, some examples of how sonification has been used to address areas of interest in biology, and the history of the technique. We then highlight a selection of biology-related publications that involve sonifications of DNA datasets and protein datasets, sonifications for data collection and interpretation, and sonifications aimed to improve science communication and accessibility. Through this review, we aim to show how sonification has been used both as a discovery tool and a communication tool and to inspire more life-science researchers to incorporate sonification into their own studies.
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Affiliation(s)
- Rhea Braun
- Department of Chemical Engineering, School of Engineering and Applied Sciences, University of Virginia, Charlottesville, Virginia, USA
| | - Maxwell Tfirn
- Department of Music, Christopher Newport University, Newport News, Virginia, USA
| | - Roseanne M Ford
- Department of Chemical Engineering, School of Engineering and Applied Sciences, University of Virginia, Charlottesville, Virginia, USA
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Boevé JL, Giot R. Parameter Mapping Sonification of Human Olfactory Thresholds. BIOLOGY 2023; 12:670. [PMID: 37237484 PMCID: PMC10215924 DOI: 10.3390/biology12050670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2023] [Revised: 04/18/2023] [Accepted: 04/26/2023] [Indexed: 05/28/2023]
Abstract
An objective of chemical ecology is to understand the chemical diversity across and within species, as well as the bioactivity of chemical compounds. We previously studied defensive volatiles from phytophagous insects that were subjected to parameter mapping sonification. The created sounds contained information about the repellent bioactivity of the volatiles, such as the repellence from the volatiles themselves when tested against live predators. Here, we applied a similar sonification process to data about human olfactory thresholds. Randomized mapping conditions were used and a peak sound pressure, Lpeak, was calculated from each audio file. The results indicate that Lpeak values were significantly correlated with the olfactory threshold values (e.g., rS = 0.72, t = 10.19, p < 0.001, Spearman rank-order correlation; standardized olfactory thresholds of 100 volatiles). Furthermore, multiple linear regressions used the olfactory threshold as a dependent variable. The regressions revealed that the molecular weight, the number of carbon and oxygen atoms, as well as the functional groups aldehyde, acid, and (remaining) double bond were significant determinants of the bioactivity, while the functional groups ester, ketone, and alcohol were not. We conclude that the presented sonification methodology that converts chemicals into sound data allows for the study of their bioactivities by integrating compound characteristics that are easily accessible.
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Affiliation(s)
- Jean-Luc Boevé
- OD Taxonomy and Phylogeny, Royal Belgian Institute of Natural Sciences, Rue Vautier 29, 1000 Brussels, Belgium
| | - Rudi Giot
- Research Laboratory in the Field of Arts and Sciences, Institut Supérieur Industriel de Bruxelles, Rue Royale 150, 1000 Brussels, Belgium
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Participatory Design of Sonification Development for Learning about Molecular Structures in Virtual Reality. MULTIMODAL TECHNOLOGIES AND INTERACTION 2022. [DOI: 10.3390/mti6100089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Background: Chemistry and biology students often have difficulty understanding molecular structures. Sonification (the rendition of data into non-speech sounds that convey information) can be used to support molecular understanding by complementing scientific visualization. A proper sonification design is important for its effective educational use. This paper describes a participatory design (PD) approach to designing and developing the sonification of a molecular structure model to be used in an educational setting. Methods: Biology, music, and computer science students and specialists designed a sonification of a model of an insulin molecule, following Spinuzzi’s PD methodology and involving evolutionary prototyping. The sonification was developed using open-source software tools used in digital music composition. Results and Conclusions: We tested our sonification played on a virtual reality headset with 15 computer science students. Questionnaire and observational results showed that multidisciplinary PD was useful and effective for developing an educational scientific sonification. PD allowed for speeding up and improving our sonification design and development. Making a usable (effective, efficient, and pleasant to use) sonification of molecular information requires the multidisciplinary participation of people with music, computer science, and molecular biology backgrounds.
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Wave-like behaviour in (0,1) binary sequences. Sci Rep 2022; 12:13971. [PMID: 35978136 PMCID: PMC9383675 DOI: 10.1038/s41598-022-18360-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Accepted: 08/10/2022] [Indexed: 11/08/2022] Open
Abstract
A comprehensive study of the properties of finite (0,1) binary systems from the mathematical viewpoint of quantum theory is presented. This is a quantum-inspired extension of the GenomeBits model to characterize observed genome sequences, where a complex wavefunction \documentclass[12pt]{minimal}
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\begin{document}$$\psi _{n}$$\end{document}ψn is considered as an analogous probability measure and it is related to an alternating (0,1) binary series having independent distributed terms. The real and imaginary spectrum of \documentclass[12pt]{minimal}
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\begin{document}$$\psi _{n}$$\end{document}ψnvs. the nucleotide base positions display characteristic features of sound waves. This approach represents a novel perspective for identifying and “observing” emergent properties of genome sequences in the form of wavefunctions via superposition states. The motivation is to develop a simple algorithm to perform wave calculations from binary sequences and to apply these wave functions to sonification.
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Boevé JL, Giot R. Chemical composition: Hearing insect defensive volatiles. PATTERNS (NEW YORK, N.Y.) 2021; 2:100352. [PMID: 34820644 PMCID: PMC8600227 DOI: 10.1016/j.patter.2021.100352] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Revised: 07/29/2021] [Accepted: 08/26/2021] [Indexed: 11/04/2022]
Abstract
Chemical signals mediate major ecological interactions in insects. However, using bioassays only, it is difficult to quantify the bioactivity of complex mixtures, such as volatile defensive secretions emitted by prey insects, and to assess the impact of single compounds on the repellence of the entire mixture. To represent chemical data in a different perceptive mode, we used a process of sonification by parameter mapping of single molecules, which translated chemical signals into acoustic signals. These sounds were then mixed at dB levels reflecting the relative concentrations of the molecules within species-specific secretions. Repellence of single volatiles, as well as mixtures of volatiles, against predators were significantly correlated with the repulsiveness of their respective auditory translates against humans, who mainly reacted to sound pressure. Furthermore, sound pressure and predator response were associated with the number of different molecules in a secretion. Our transmodal approach, from olfactory to auditory perception, offers further prospects for chemo-ecological research and data representation.
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Affiliation(s)
- Jean-Luc Boevé
- OD Taxonomy and Phylogeny, Royal Belgian Institute of Natural Sciences, Rue Vautier 29, 1000 Brussels, Belgium
| | - Rudi Giot
- Research Laboratory in the Field of Arts and Sciences, Institut Supérieur Industriel de Bruxelles, Rue Royale 150, 1000 Brussels, Belgium
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Martin EJ, Meagher TR, Barker D. Using sound to understand protein sequence data: new sonification algorithms for protein sequences and multiple sequence alignments. BMC Bioinformatics 2021; 22:456. [PMID: 34556048 PMCID: PMC8459479 DOI: 10.1186/s12859-021-04362-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Accepted: 08/23/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The use of sound to represent sequence data-sonification-has great potential as an alternative and complement to visual representation, exploiting features of human psychoacoustic intuitions to convey nuance more effectively. We have created five parameter-mapping sonification algorithms that aim to improve knowledge discovery from protein sequences and small protein multiple sequence alignments. For two of these algorithms, we investigated their effectiveness at conveying information. To do this we focussed on subjective assessments of user experience. This entailed a focus group session and survey research by questionnaire of individuals engaged in bioinformatics research. RESULTS For single protein sequences, the success of our sonifications for conveying features was supported by both the survey and focus group findings. For protein multiple sequence alignments, there was limited evidence that the sonifications successfully conveyed information. Additional work is required to identify effective algorithms to render multiple sequence alignment sonification useful to researchers. Feedback from both our survey and focus groups suggests future directions for sonification of multiple alignments: animated visualisation indicating the column in the multiple alignment as the sonification progresses, user control of sequence navigation, and customisation of the sound parameters. CONCLUSIONS Sonification approaches undertaken in this work have shown some success in conveying information from protein sequence data. Feedback points out future directions to build on the sonification approaches outlined in this paper. The effectiveness assessment process implemented in this work proved useful, giving detailed feedback and key approaches for improvement based on end-user input. The uptake of similar user experience focussed effectiveness assessments could also help with other areas of bioinformatics, for example in visualisation.
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Affiliation(s)
- Edward J. Martin
- School of Informatics, Informatics Forum, University of Edinburgh, 10 Crichton Street, Edinburgh, EH8 9AB UK
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Charlotte Auerbach Road, The King’s Buildings, Edinburgh, EH9 3FL UK
| | - Thomas R. Meagher
- Centre for Biological Diversity, School of Biology, University of St Andrews, Sir Harold Mitchell Building, Greenside Place, St Andrews, KY16 9TH UK
| | - Daniel Barker
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Charlotte Auerbach Road, The King’s Buildings, Edinburgh, EH9 3FL UK
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Plaisier H, Meagher TR, Barker D. DNA sonification for public engagement in bioinformatics. BMC Res Notes 2021; 14:273. [PMID: 34266480 PMCID: PMC8281613 DOI: 10.1186/s13104-021-05685-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Accepted: 07/05/2021] [Indexed: 01/17/2023] Open
Abstract
OBJECTIVE Visualisation methods, primarily color-coded representation of sequence data, have been a predominant means of representation of DNA data. Algorithmic conversion of DNA sequence data to sound-sonification-represents an alternative means of representation that uses a different range of human sensory perception. We propose that sonification has value for public engagement with DNA sequence information because it has potential to be entertaining as well as informative. We conduct preliminary work to explore the potential of DNA sequence sonification in public engagement with bioinformatics. We apply a simple sonification technique for DNA, in which each DNA base is represented by a specific note. Additionally, a beat may be added to indicate codon boundaries or for musical effect. We report a brief analysis from public engagement events we conducted that featured this method of sonification. RESULTS We report on use of DNA sequence sonification at two public events. Sonification has potential in public engagement with bioinformatics, both as a means of data representation and as a means to attract audience to a drop-in stand. We also discuss further directions for research on integration of sonification into bioinformatics public engagement and education.
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Affiliation(s)
- Heleen Plaisier
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Charlotte Auerbach Road, The King's Buildings, Edinburgh, EH9 3FL, UK.,Royal Botanic Garden Edinburgh, 20A Inverleith Row, Edinburgh, EH3 5LR, UK
| | - Thomas R Meagher
- Centre for Biological Diversity, School of Biology, University of St Andrews, Sir Harold Mitchell Building, Greenside Place, St Andrews, KY16 9TH, UK
| | - Daniel Barker
- Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Charlotte Auerbach Road, The King's Buildings, Edinburgh, EH9 3FL, UK.
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Temple MD. Real-time audio and visual display of the Coronavirus genome. BMC Bioinformatics 2020; 21:431. [PMID: 33008363 PMCID: PMC7530539 DOI: 10.1186/s12859-020-03760-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2020] [Accepted: 09/16/2020] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND This paper describes a web based tool that uses a combination of sonification and an animated display to inquire into the SARS-CoV-2 genome. The audio data is generated in real time from a variety of RNA motifs that are known to be important in the functioning of RNA. Additionally, metadata relating to RNA translation and transcription has been used to shape the auditory and visual displays. Together these tools provide a unique approach to further understand the metabolism of the viral RNA genome. This audio provides a further means to represent the function of the RNA in addition to traditional written and visual approaches. RESULTS Sonification of the SARS-CoV-2 genomic RNA sequence results in a complex auditory stream composed of up to 12 individual audio tracks. Each auditory motive is derived from the actual RNA sequence or from metadata. This approach has been used to represent transcription or translation of the viral RNA genome. The display highlights the real-time interaction of functional RNA elements. The sonification of codons derived from all three reading frames of the viral RNA sequence in combination with sonified metadata provide the framework for this display. Functional RNA motifs such as transcription regulatory sequences and stem loop regions have also been sonified. Using the tool, audio can be generated in real-time from either genomic or sub-genomic representations of the RNA. Given the large size of the viral genome, a collection of interactive buttons has been provided to navigate to regions of interest, such as cleavage regions in the polyprotein, untranslated regions or each gene. These tools are available through an internet browser and the user can interact with the data display in real time. CONCLUSION The auditory display in combination with real-time animation of the process of translation and transcription provide a unique insight into the large body of evidence describing the metabolism of the RNA genome. Furthermore, the tool has been used as an algorithmic based audio generator. These audio tracks can be listened to by the general community without reference to the visual display to encourage further inquiry into the science.
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Affiliation(s)
- Mark D Temple
- School of Science, Western Sydney University, Campbelltown Campus, Locked Bag 1797, Penrith South DC, NSW, 1797, Australia.
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Guerra J, Smith L, Vicinanza D, Stubbs B, Veronese N, Williams G. The use of sonification for physiotherapy in human movement tasks: A scoping review. Sci Sports 2020. [DOI: 10.1016/j.scispo.2019.12.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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Artigas-Jerónimo S, Pastor Comín JJ, Villar M, Contreras M, Alberdi P, León Viera I, Soto L, Cordero R, Valdés JJ, Cabezas-Cruz A, Estrada-Peña A, de la Fuente J. A Novel Combined Scientific and Artistic Approach for the Advanced Characterization of Interactomes: The Akirin/Subolesin Model. Vaccines (Basel) 2020; 8:vaccines8010077. [PMID: 32046307 PMCID: PMC7157757 DOI: 10.3390/vaccines8010077] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 01/29/2020] [Accepted: 02/07/2020] [Indexed: 12/22/2022] Open
Abstract
The main objective of this study was to propose a novel methodology to approach challenges in molecular biology. Akirin/Subolesin (AKR/SUB) are vaccine protective antigens and are a model for the study of the interactome due to its conserved function in the regulation of different biological processes such as immunity and development throughout the metazoan. Herein, three visual artists and a music professor collaborated with scientists for the functional characterization of the AKR2 interactome in the regulation of the NF-κB pathway in human placenta cells. The results served as a methodological proof-of-concept to advance this research area. The results showed new perspectives on unexplored characteristics of AKR2 with functional implications. These results included protein dimerization, the physical interactions with different proteins simultaneously to regulate various biological processes defined by cell type-specific AKR–protein interactions, and how these interactions positively or negatively regulate the nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) signaling pathway in a biological context-dependent manner. These results suggested that AKR2-interacting proteins might constitute suitable secondary transcription factors for cell- and stimulus-specific regulation of NF-κB. Musical perspective supported AKR/SUB evolutionary conservation in different species and provided new mechanistic insights into the AKR2 interactome. The combined scientific and artistic perspectives resulted in a multidisciplinary approach, advancing our knowledge on AKR/SUB interactome, and provided new insights into the function of AKR2–protein interactions in the regulation of the NF-κB pathway. Additionally, herein we proposed an algorithm for quantum vaccinomics by focusing on the model proteins AKR/SUB.
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Affiliation(s)
- Sara Artigas-Jerónimo
- SaBio. Instituto de Investigación en Recursos Cinegéticos IREC-CSIC-UCLM-JCCM, Ronda de Toledo s/n, 13005 Ciudad Real, Spain; (S.A.-J.); (M.V.); (M.C.); (P.A.)
| | - Juan J. Pastor Comín
- Centro de Investigación y Documentación Musical CIDoM-UCLM-CSIC, Facultad de Educación de Ciudad Real, Ronda Calatrava 3, 13071 Ciudad Real, Spain;
| | - Margarita Villar
- SaBio. Instituto de Investigación en Recursos Cinegéticos IREC-CSIC-UCLM-JCCM, Ronda de Toledo s/n, 13005 Ciudad Real, Spain; (S.A.-J.); (M.V.); (M.C.); (P.A.)
| | - Marinela Contreras
- SaBio. Instituto de Investigación en Recursos Cinegéticos IREC-CSIC-UCLM-JCCM, Ronda de Toledo s/n, 13005 Ciudad Real, Spain; (S.A.-J.); (M.V.); (M.C.); (P.A.)
| | - Pilar Alberdi
- SaBio. Instituto de Investigación en Recursos Cinegéticos IREC-CSIC-UCLM-JCCM, Ronda de Toledo s/n, 13005 Ciudad Real, Spain; (S.A.-J.); (M.V.); (M.C.); (P.A.)
| | - Israel León Viera
- León Viera Studio, Calle 60 No. 338 M por 31, Colonia Alcalá Martín, Mérida 97000, Mexico;
| | | | - Raúl Cordero
- Raúl Cordero Studio, Calle Rio Elba 21-8, Colonia Cuauhtémoc, CDMX 06500, Mexico;
| | - James J. Valdés
- Faculty of Science, University of South Bohemia, 37005 České Budějovice, Czech Republic;
- Institute of Parasitology, Biology Centre, Czech Academy of Sciences, Branišovská 1160/31, 37005 České Budějovice, Czech Republic
- Department of Virology, Veterinary Research Institute, Hudcova 70, 62100 Brno, Czech Republic
| | - Alejandro Cabezas-Cruz
- UMR BIPAR, INRA, ANSES, Ecole Nationale Vétérinaire d’Alfort, Université Paris-Est, Maisons-Alfort 94700, France;
| | | | - José de la Fuente
- SaBio. Instituto de Investigación en Recursos Cinegéticos IREC-CSIC-UCLM-JCCM, Ronda de Toledo s/n, 13005 Ciudad Real, Spain; (S.A.-J.); (M.V.); (M.C.); (P.A.)
- Department of Veterinary Pathobiology, Center for Veterinary Health Sciences, Oklahoma State University, Stillwater, OK 74078, USA
- Correspondence:
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Lee BD, Timony MA, Ruiz P. DNAvisualization.org: a serverless web tool for DNA sequence visualization. Nucleic Acids Res 2019; 47:W20-W25. [PMID: 31170285 PMCID: PMC6602497 DOI: 10.1093/nar/gkz404] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2019] [Revised: 04/08/2019] [Accepted: 05/06/2019] [Indexed: 11/23/2022] Open
Abstract
Raw DNA sequences contain an immense amount of meaningful biological information. However, these sequences are hard for humans to intuitively interpret. To solve this problem, a number of methods have been proposed to transform DNA sequences into two-dimensional visualizations. DNAvisualization.org implements several of these methods in a cost effective and performant manner via a novel, entirely serverless architecture. By taking advantage of recent developments in serverless parallel computing and selective data retrieval, the website is able to offer users the ability to visualize up to thirty 4.5 Mb DNA sequences simultaneously using one of five supported methods and to export these visualizations in a variety of publication-ready formats.
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Affiliation(s)
- Benjamin D Lee
- In-Q-Tel Lab41, 800 El Camino Real, Suite 300, Menlo Park, CA 94025, USA
- Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA
- School of Engineering and Applied Sciences, Harvard University, 29 Oxford Street, Cambridge, MA 02138, USA
| | - Michael A Timony
- Harvard Medical School, 77 Avenue Louis Pasteur, Boston, MA 02115, USA
- SBGrid Consortium, Harvard Medical School, 250 Longwood Avenue, SGM114, Boston, MA 02115, USA
| | - Pablo Ruiz
- School of Engineering and Applied Sciences, Harvard University, 29 Oxford Street, Cambridge, MA 02138, USA
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Goodstadt M, Marti‐Renom MA. Challenges for visualizing three-dimensional data in genomic browsers. FEBS Lett 2017; 591:2505-2519. [PMID: 28771695 PMCID: PMC5638070 DOI: 10.1002/1873-3468.12778] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2017] [Revised: 07/30/2017] [Accepted: 07/31/2017] [Indexed: 12/14/2022]
Abstract
Genomic interactions reveal the spatial organization of genomes and genomic domains, which is known to play key roles in cell function. Physical proximity can be represented as two-dimensional heat maps or matrices. From these, three-dimensional (3D) conformations of chromatin can be computed revealing coherent structures that highlight the importance of nonsequential relationships across genomic features. Mainstream genomic browsers have been classically developed to display compact, stacked tracks based on a linear, sequential, per-chromosome coordinate system. Genome-wide comparative analysis demands new approaches to data access and new layouts for analysis. The legibility can be compromised when displaying track-aligned second dimension matrices, which require greater screen space. Moreover, 3D representations of genomes defy vertical alignment in track-based genome browsers. Furthermore, investigation at previously unattainable levels of detail is revealing multiscale, multistate, time-dependent complexity. This article outlines how these challenges are currently handled in mainstream browsers as well as how novel techniques in visualization are being explored to address them. A set of requirements for coherent visualization of novel spatial genomic data is defined and the resulting potential for whole genome visualization is described.
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Affiliation(s)
- Mike Goodstadt
- Structural Genomics GroupCNAG‐CRGThe Barcelona Institute of Science and Technology (BIST)Spain
- Gene Regulation, Stem Cells and Cancer ProgramCentre for Genomic Regulation (CRG)The Barcelona Institute of Science and Technology (BIST)Spain
- Universitat Pompeu Fabra (UPF)BarcelonaSpain
| | - Marc A. Marti‐Renom
- Structural Genomics GroupCNAG‐CRGThe Barcelona Institute of Science and Technology (BIST)Spain
- Gene Regulation, Stem Cells and Cancer ProgramCentre for Genomic Regulation (CRG)The Barcelona Institute of Science and Technology (BIST)Spain
- Universitat Pompeu Fabra (UPF)BarcelonaSpain
- Institució Catalana de Recerca i Estudis Avançats (ICREA)BarcelonaSpain
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