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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2000 1
2001 5
2002 1
2005 2
2007 2
2009 1
2010 2
2011 1
2012 1
2013 4
2014 11
2015 4
2016 7
2017 7
2018 10
2019 13
2020 22
2021 16
2022 12
2023 4
2024 6

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Page 1
Computational methods and next-generation sequencing approaches to analyze epigenetics data: Profiling of methods and applications.
Arora I, Tollefsbol TO. Arora I, et al. Methods. 2021 Mar;187:92-103. doi: 10.1016/j.ymeth.2020.09.008. Epub 2020 Sep 14. Methods. 2021. PMID: 32941995 Free PMC article. Review.
Amongst all, bioinformatics plays a pivotal role in achieving epigenetics-related computational studies. Despite significant advancements towards epigenomic profiling, it is challenging to understand how various epigenetic modifications such as chromatin modifications and …
Amongst all, bioinformatics plays a pivotal role in achieving epigenetics-related computational studies. Despite significant advancem …
The 4D Nucleome.
Ried T, Rajapakse I. Ried T, et al. Methods. 2017 Jul 1;123:1-2. doi: 10.1016/j.ymeth.2017.06.031. Methods. 2017. PMID: 28734317 No abstract available.
Chromatin image-driven modelling.
Kadlof M, Banecki K, Chiliński M, Plewczynski D. Kadlof M, et al. Methods. 2024 Jun;226:54-60. doi: 10.1016/j.ymeth.2024.04.006. Epub 2024 Apr 16. Methods. 2024. PMID: 38636797 Free article.
Correlative approaches in single-molecule biophysics: A review of the progress in methods and applications.
Leake MC. Leake MC. Methods. 2021 Sep;193:1-4. doi: 10.1016/j.ymeth.2021.06.012. Epub 2021 Jun 23. Methods. 2021. PMID: 34171486
Many new correlative single-molecule biophysics techniques also include more complex, physiologically relevant approaches as well as an increasing number that combine of approaches advanced computational methods and mathematical analysis with experimental tools. ...
Many new correlative single-molecule biophysics techniques also include more complex, physiologically relevant approaches as well as an incr …
Adventures with RNA graphs.
Schlick T. Schlick T. Methods. 2018 Jul 1;143:16-33. doi: 10.1016/j.ymeth.2018.03.009. Epub 2018 Apr 3. Methods. 2018. PMID: 29621619 Free PMC article. Review.
The structure of RNA has been a natural subject for mathematical modeling, inviting many innovative computational frameworks. ...Illustrating these paired and non-paired interaction networks, known as RNA's secondary (2D) structure, using mathematical graph o …
The structure of RNA has been a natural subject for mathematical modeling, inviting many innovative computational frameworks. …
Somatic mutations - Evolution within the individual.
Oota S. Oota S. Methods. 2020 Apr 1;176:91-98. doi: 10.1016/j.ymeth.2019.11.002. Epub 2019 Nov 8. Methods. 2020. PMID: 31711929 Free article. Review.
While it is still a difficult task to identify true somatic mutations, relentless efforts to combine experimental and computational methods have made it possible to obtain reliable data. ...Meanwhile, we can regard somatic mutations as a counterpart of germline mutations, …
While it is still a difficult task to identify true somatic mutations, relentless efforts to combine experimental and computational m …
The RNA 3D Motif Atlas: Computational methods for extraction, organization and evaluation of RNA motifs.
Parlea LG, Sweeney BA, Hosseini-Asanjan M, Zirbel CL, Leontis NB. Parlea LG, et al. Methods. 2016 Jul 1;103:99-119. doi: 10.1016/j.ymeth.2016.04.025. Epub 2016 Apr 25. Methods. 2016. PMID: 27125735 Free PMC article. Review.
Three broad applications are: (1) identification of modular, autonomous structural units for RNA nanotechnology, nanobiology and synthetic biology applications; (2) bioinformatic analysis to improve RNA 3D structure prediction from sequence; and (3) creation of searchable databas …
Three broad applications are: (1) identification of modular, autonomous structural units for RNA nanotechnology, nanobiology and synthetic b …
Deep learning in bioinformatics.
Wang W, Gao X. Wang W, et al. Methods. 2019 Aug 15;166:1-3. doi: 10.1016/j.ymeth.2019.06.006. Epub 2019 Jun 8. Methods. 2019. PMID: 31181259 No abstract available.
Radiomics in neuro-oncology: Basics, workflow, and applications.
Lohmann P, Galldiks N, Kocher M, Heinzel A, Filss CP, Stegmayr C, Mottaghy FM, Fink GR, Jon Shah N, Langen KJ. Lohmann P, et al. Methods. 2021 Apr;188:112-121. doi: 10.1016/j.ymeth.2020.06.003. Epub 2020 Jun 6. Methods. 2021. PMID: 32522530 Review.
., tumor segmentation, thereby optimizing productivity. Besides, the automated and computer-based analysis of imaging data may help to increase data comparability as it is independent of the experience level of the evaluating clinician. ...The subdiscipline of AI dealing w …
., tumor segmentation, thereby optimizing productivity. Besides, the automated and computer-based analysis of imaging data may help t …
100 results