ArticleBMC bioinformatics2015
Single-molecule dataset (SMD): a generalized storage format for raw and processed single-molecule data.
Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- FAIR data for optical tweezers experiments.Biophysical journal · 2025Review
- Article
- FRET-based dynamic structural biology: Challenges, perspectives and an appeal for open-science practices.eLife · 2021Review
- Kinetic and thermodynamic framework for P4-P6 RNA reveals tertiary motif modularity and modulation of the folding preferred pathway.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Photon-HDF5: Open Data Format and Computational Tools for Timestamp-based Single-Molecule Experiments.Proceedings of SPIE--the International Society for Optical Engineering · 2016Article
- Photon-HDF5: An Open File Format for Timestamp-Based Single-Molecule Fluorescence Experiments.Biophysical journal · 2016Article
- Single-Molecule FRET to Measure Conformational Dynamics of DNA Mismatch Repair Proteins.Methods in enzymology · 2016Article
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Authors and funding
7 authors.
Funding
Abstract
backgroundSingle-molecule techniques have emerged as incisive approaches for addressing a wide range of questions arising in contemporary biological research [Trends Biochem Sci 38:30-37, 2013; Nat Rev Genet 14:9-22, 2013; Curr Opin Struct Biol 2014, 28C:112-121; Annu Rev Biophys 43:19-39, 2014]. The analysis and interpretation of raw single-molecule data benefits greatly from the ongoing development of sophisticated statistical analysis tools that enable accurate inference at the low signal-to-noise ratios frequently associated with these measurements. While a number of groups have released analysis toolkits as open source software [J Phys Chem B 114:5386-5403, 2010; Biophys J 79:1915-1927, 2000; Biophys J 91:1941-1951, 2006; Biophys J 79:1928-1944, 2000; Biophys J 86:4015-4029, 2004; Biophys J 97:3196-3205, 2009; PLoS One 7:e30024, 2012; BMC Bioinformatics 288 11(8):S2, 2010; Biophys J 106:1327-1337, 2014; Proc Int Conf Mach Learn 28:361-369, 2013], it remains difficult to compare analysis for experiments performed in different labs due to a lack of standardization.
resultsHere we propose a standardized single-molecule dataset (SMD) file format. SMD is designed to accommodate a wide variety of computer programming languages, single-molecule techniques, and analysis strategies. To facilitate adoption of this format we have made two existing data analysis packages that are used for single-molecule analysis compatible with this format.
conclusionAdoption of a common, standard data file format for sharing raw single-molecule data and analysis outcomes is a critical step for the emerging and powerful single-molecule field, which will benefit both sophisticated users and non-specialists by allowing standardized, transparent, and reproducible analysis practices.
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