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Showing 1 to 12 of 63 entries
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Evaluation of English Websites on Dental Caries by Using Consumer Evaluation Tools.

Oral health & preventive dentistry

Blizniuk A, Furukawa S, Ueno M, Kawaguchi Y.
PMID: 26973989
Oral Health Prev Dent. 2016;14(4):363-9. doi: 10.3290/j.ohpd.a35746.

PURPOSE: To evaluate the quality of patient-oriented online information about dental caries using existing consumer evaluation tools and to judge the efficacy of these tools in quality assessment.MATERIALS AND METHODS: The websites for the evaluation were pooled by using...

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Blizniuk A, Furukawa S, Ueno M, et al. Evaluation of English Websites on Dental Caries by Using Consumer Evaluation Tools. Oral Health Prev Dent. 2016;14(4):363-9doi: 10.3290/j.ohpd.a35746.
Blizniuk, A., Furukawa, S., Ueno, M., & Kawaguchi, Y. (2016). Evaluation of English Websites on Dental Caries by Using Consumer Evaluation Tools. Oral health & preventive dentistry, 14(4), 363-9. https://doi.org/10.3290/j.ohpd.a35746
Blizniuk, Anastasiya, et al. "Evaluation of English Websites on Dental Caries by Using Consumer Evaluation Tools." Oral health & preventive dentistry vol. 14,4 (2016): 363-9. doi: https://doi.org/10.3290/j.ohpd.a35746
Blizniuk A, Furukawa S, Ueno M, Kawaguchi Y. Evaluation of English Websites on Dental Caries by Using Consumer Evaluation Tools. Oral Health Prev Dent. 2016;14(4):363-9. doi: 10.3290/j.ohpd.a35746. PMID: 26973989.
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mORCA: sailing bioinformatics world with mobile devices.

Bioinformatics (Oxford, England)

Díaz-Del-Pino S, Falgueras J, Perez-Wohlfeil E, Trelles O.
PMID: 29069310
Bioinformatics. 2018 Mar 01;34(5):869-870. doi: 10.1093/bioinformatics/btx673.

MOTIVATION: Nearly 10 years have passed since the first mobile apps appeared. Given the fact that bioinformatics is a web-based world and that mobile devices are endowed with web-browsers, it seemed natural that bioinformatics would transit from personal computers...

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Díaz-Del-Pino S, Falgueras J, Perez-Wohlfeil E, et al. mORCA: sailing bioinformatics world with mobile devices. Bioinformatics. 2018;34(5):869-870doi: 10.1093/bioinformatics/btx673.
Díaz-Del-Pino, S., Falgueras, J., Perez-Wohlfeil, E., & Trelles, O. (2018). mORCA: sailing bioinformatics world with mobile devices. Bioinformatics (Oxford, England), 34(5), 869-870. https://doi.org/10.1093/bioinformatics/btx673
Díaz-Del-Pino, Sergio, et al. "mORCA: sailing bioinformatics world with mobile devices." Bioinformatics (Oxford, England) vol. 34,5 (2018): 869-870. doi: https://doi.org/10.1093/bioinformatics/btx673
Díaz-Del-Pino S, Falgueras J, Perez-Wohlfeil E, Trelles O. mORCA: sailing bioinformatics world with mobile devices. Bioinformatics. 2018 Mar 01;34(5):869-870. doi: 10.1093/bioinformatics/btx673. PMID: 29069310; PMCID: PMC6031017.
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TnT: a set of libraries for visualizing trees and track-based annotations for the web.

Bioinformatics (Oxford, England)

Pignatelli M.
PMID: 27153646
Bioinformatics. 2016 Aug 15;32(16):2524-5. doi: 10.1093/bioinformatics/btw210. Epub 2016 Apr 22.

UNLABELLED: There is an increasing need for rich and dynamic biological data visualizations in bioinformatic web applications. New standards in web technologies, like SVG or Canvas, are now supported by most modern web browsers allowing the blossoming of powerful...

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Pignatelli M. TnT: a set of libraries for visualizing trees and track-based annotations for the web. Bioinformatics. 2016;32(16):2524-5doi: 10.1093/bioinformatics/btw210.
Pignatelli, M. (2016). TnT: a set of libraries for visualizing trees and track-based annotations for the web. Bioinformatics (Oxford, England), 32(16), 2524-5. https://doi.org/10.1093/bioinformatics/btw210
Pignatelli, Miguel. "TnT: a set of libraries for visualizing trees and track-based annotations for the web." Bioinformatics (Oxford, England) vol. 32,16 (2016): 2524-5. doi: https://doi.org/10.1093/bioinformatics/btw210
Pignatelli M. TnT: a set of libraries for visualizing trees and track-based annotations for the web. Bioinformatics. 2016 Aug 15;32(16):2524-5. doi: 10.1093/bioinformatics/btw210. Epub 2016 Apr 22. PMID: 27153646; PMCID: PMC4978938.
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Crowdsourcing to Curb Bad Science.

Cancer discovery

[No authors listed]
PMID: 26272490
Cancer Discov. 2015 Oct;5(10):1008. doi: 10.1158/2159-8290.CD-NB2015-118. Epub 2015 Aug 13.

No abstract available.

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Crowdsourcing to Curb Bad Science. Cancer Discov. 2015;5(10):1008doi: 10.1158/2159-8290.CD-NB2015-118.
(2015). Crowdsourcing to Curb Bad Science. Cancer discovery, 5(10), 1008. https://doi.org/10.1158/2159-8290.CD-NB2015-118
"Crowdsourcing to Curb Bad Science." Cancer discovery vol. 5,10 (2015): 1008. doi: https://doi.org/10.1158/2159-8290.CD-NB2015-118
Crowdsourcing to Curb Bad Science. Cancer Discov. 2015 Oct;5(10):1008. doi: 10.1158/2159-8290.CD-NB2015-118. Epub 2015 Aug 13. PMID: 26272490.
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Web 2.0 and social networks.

GMS Zeitschrift fur medizinische Ausbildung

Ehlers JP, Sostmann K.
PMID: 23468818
GMS Z Med Ausbild. 2013;30(1):Doc15. doi: 10.3205/zma000858. Epub 2013 Feb 21.

No abstract available.

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Ehlers JP, Sostmann K. Web 2.0 and social networks. GMS Z Med Ausbild. 2013;30(1):Doc15doi: 10.3205/zma000858.
Ehlers, J. P., & Sostmann, K. (2013). Web 2.0 and social networks. GMS Zeitschrift fur medizinische Ausbildung, 30(1), Doc15. https://doi.org/10.3205/zma000858
Ehlers, Jan P, and Sostmann, Kai. "Web 2.0 and social networks." GMS Zeitschrift fur medizinische Ausbildung vol. 30,1 (2013): Doc15. doi: https://doi.org/10.3205/zma000858
Ehlers JP, Sostmann K. Web 2.0 and social networks. GMS Z Med Ausbild. 2013;30(1):Doc15. doi: 10.3205/zma000858. Epub 2013 Feb 21. PMID: 23468818; PMCID: PMC3589683.
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Prediction of intrinsic disorder in proteins using MFDp2.

Methods in molecular biology (Clifton, N.J.)

Mizianty MJ, Uversky V, Kurgan L.
PMID: 24573480
Methods Mol Biol. 2014;1137:147-62. doi: 10.1007/978-1-4939-0366-5_11.

Intrinsically disordered proteins (IDPs) are either entirely disordered or contain disordered regions in their native state. IDPs were found to be abundant across all kingdoms of life, particularly in eukaryotes, and are implicated in numerous cellular processes. Experimental annotation...

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Mizianty MJ, Uversky V, Kurgan L. Prediction of intrinsic disorder in proteins using MFDp2. Methods Mol Biol. 2014;1137:147-62doi: 10.1007/978-1-4939-0366-5_11.
Mizianty, M. J., Uversky, V., & Kurgan, L. (2014). Prediction of intrinsic disorder in proteins using MFDp2. Methods in molecular biology (Clifton, N.J.), 1137147-62. https://doi.org/10.1007/978-1-4939-0366-5_11
Mizianty, Marcin J, et al. "Prediction of intrinsic disorder in proteins using MFDp2." Methods in molecular biology (Clifton, N.J.) vol. 1137 (2014): 147-62. doi: https://doi.org/10.1007/978-1-4939-0366-5_11
Mizianty MJ, Uversky V, Kurgan L. Prediction of intrinsic disorder in proteins using MFDp2. Methods Mol Biol. 2014;1137:147-62. doi: 10.1007/978-1-4939-0366-5_11. PMID: 24573480.
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CGDV: a webtool for circular visualization of genomics and transcriptomics data.

BMC genomics

Jha V, Singh G, Kumar S, Sonawane A, Jere A, Anamika K.
PMID: 29065857
BMC Genomics. 2017 Oct 24;18(1):823. doi: 10.1186/s12864-017-4169-5.

BACKGROUND: Interpretation of large-scale data is very challenging and currently there is scarcity of web tools which support automated visualization of a variety of high throughput genomics and transcriptomics data and for a wide variety of model organisms along...

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Jha V, Singh G, Kumar S, et al. CGDV: a webtool for circular visualization of genomics and transcriptomics data. BMC Genomics. 2017;18(1):823doi: 10.1186/s12864-017-4169-5.
Jha, V., Singh, G., Kumar, S., Sonawane, A., Jere, A., & Anamika, K. (2017). CGDV: a webtool for circular visualization of genomics and transcriptomics data. BMC genomics, 18(1), 823. https://doi.org/10.1186/s12864-017-4169-5
Jha, Vineet, et al. "CGDV: a webtool for circular visualization of genomics and transcriptomics data." BMC genomics vol. 18,1 (2017): 823. doi: https://doi.org/10.1186/s12864-017-4169-5
Jha V, Singh G, Kumar S, Sonawane A, Jere A, Anamika K. CGDV: a webtool for circular visualization of genomics and transcriptomics data. BMC Genomics. 2017 Oct 24;18(1):823. doi: 10.1186/s12864-017-4169-5. PMID: 29065857; PMCID: PMC5655900.
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Network-Based Approaches for Multi-omics Integration.

Methods in molecular biology (Clifton, N.J.)

Zhou G, Li S, Xia J.
PMID: 31953831
Methods Mol Biol. 2020;2104:469-487. doi: 10.1007/978-1-0716-0239-3_23.

Network-based approach is rapidly emerging as a promising strategy to integrate and interpret different -omics datasets, including metabolomics. The first section of this chapter introduces the current progresses and main concepts in multi-omics integration. The second section provides an...

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Zhou G, Li S, Xia J. Network-Based Approaches for Multi-omics Integration. Methods Mol Biol. 2020;2104:469-487doi: 10.1007/978-1-0716-0239-3_23.
Zhou, G., Li, S., & Xia, J. (2020). Network-Based Approaches for Multi-omics Integration. Methods in molecular biology (Clifton, N.J.), 2104469-487. https://doi.org/10.1007/978-1-0716-0239-3_23
Zhou, Guangyan, et al. "Network-Based Approaches for Multi-omics Integration." Methods in molecular biology (Clifton, N.J.) vol. 2104 (2020): 469-487. doi: https://doi.org/10.1007/978-1-0716-0239-3_23
Zhou G, Li S, Xia J. Network-Based Approaches for Multi-omics Integration. Methods Mol Biol. 2020;2104:469-487. doi: 10.1007/978-1-0716-0239-3_23. PMID: 31953831.
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Constructing online concept maps in CMap Cloud collaboratively: Connecting pathways in case scenarios.

Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology

Gerber Hornink G, Costa MJ.
PMID: 33393710
Biochem Mol Biol Educ. 2021 Jan;49(1):29-31. doi: 10.1002/bmb.21481. Epub 2021 Jan 04.

Learning metabolic pathways is vital for understanding biochemical processes and all of their implications for life. Their learning in the virtual environment is complex and generative learning strategies, such as the construction of online conceptual maps, can help in...

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Gerber Hornink G, Costa MJ. Constructing online concept maps in CMap Cloud collaboratively: Connecting pathways in case scenarios. Biochem Mol Biol Educ. 2021;49(1):29-31doi: 10.1002/bmb.21481.
Gerber Hornink, G., & Costa, M. J. (2021). Constructing online concept maps in CMap Cloud collaboratively: Connecting pathways in case scenarios. Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology, 49(1), 29-31. https://doi.org/10.1002/bmb.21481
Gerber Hornink, Gabriel, and Costa, Manuel João. "Constructing online concept maps in CMap Cloud collaboratively: Connecting pathways in case scenarios." Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology vol. 49,1 (2021): 29-31. doi: https://doi.org/10.1002/bmb.21481
Gerber Hornink G, Costa MJ. Constructing online concept maps in CMap Cloud collaboratively: Connecting pathways in case scenarios. Biochem Mol Biol Educ. 2021 Jan;49(1):29-31. doi: 10.1002/bmb.21481. Epub 2021 Jan 04. PMID: 33393710.
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Gene Annotation Easy Viewer (GAEV): Integrating KEGG's Gene Function Annotations and Associated Molecular Pathways.

F1000Research

Huynh T, Xu S.
PMID: 30705748
F1000Res. 2018 Mar 29;7:416. doi: 10.12688/f1000research.14012.3. eCollection 2018.

We developed a Gene Annotation Easy Viewer (GAEV) that integrates the gene annotation data from the KEGG (Kyoto Encyclopedia of Genes and Genomes) Automatic Annotation Server. GAEV generates an easy-to-read table that summarizes the query gene name, the KO...

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Huynh T, Xu S. Gene Annotation Easy Viewer (GAEV): Integrating KEGG's Gene Function Annotations and Associated Molecular Pathways. F1000Res. 2018;7:416doi: 10.12688/f1000research.14012.3.
Huynh, T., & Xu, S. (2018). Gene Annotation Easy Viewer (GAEV): Integrating KEGG's Gene Function Annotations and Associated Molecular Pathways. F1000Research, 7416. https://doi.org/10.12688/f1000research.14012.3
Huynh, Trung, and Xu, Sen. "Gene Annotation Easy Viewer (GAEV): Integrating KEGG's Gene Function Annotations and Associated Molecular Pathways." F1000Research vol. 7 (2018): 416. doi: https://doi.org/10.12688/f1000research.14012.3
Huynh T, Xu S. Gene Annotation Easy Viewer (GAEV): Integrating KEGG's Gene Function Annotations and Associated Molecular Pathways. F1000Res. 2018 Mar 29;7:416. doi: 10.12688/f1000research.14012.3. eCollection 2018. PMID: 30705748; PMCID: PMC6343226.
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Flood inundation mapping- Kerala 2018; Harnessing the power of SAR, automatic threshold detection method and Google Earth Engine.

PloS one

Tiwari V, Kumar V, Matin MA, Thapa A, Ellenburg WL, Gupta N, Thapa S.
PMID: 32813701
PLoS One. 2020 Aug 19;15(8):e0237324. doi: 10.1371/journal.pone.0237324. eCollection 2020.

Flood inundation maps provide valuable information towards flood risk preparedness, management, communication, response, and mitigation at the time of disaster, and can be developed by harnessing the power of satellite imagery. In the present study, Sentinel-1 Synthetic Aperture RADAR...

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Tiwari V, Kumar V, Matin MA, et al. Flood inundation mapping- Kerala 2018; Harnessing the power of SAR, automatic threshold detection method and Google Earth Engine. PLoS One. 2020;15(8):e0237324doi: 10.1371/journal.pone.0237324.
Tiwari, V., Kumar, V., Matin, M. A., Thapa, A., Ellenburg, W. L., Gupta, N., & Thapa, S. (2020). Flood inundation mapping- Kerala 2018; Harnessing the power of SAR, automatic threshold detection method and Google Earth Engine. PloS one, 15(8), e0237324. https://doi.org/10.1371/journal.pone.0237324
Tiwari, Varun, et al. "Flood inundation mapping- Kerala 2018; Harnessing the power of SAR, automatic threshold detection method and Google Earth Engine." PloS one vol. 15,8 (2020): e0237324. doi: https://doi.org/10.1371/journal.pone.0237324
Tiwari V, Kumar V, Matin MA, Thapa A, Ellenburg WL, Gupta N, Thapa S. Flood inundation mapping- Kerala 2018; Harnessing the power of SAR, automatic threshold detection method and Google Earth Engine. PLoS One. 2020 Aug 19;15(8):e0237324. doi: 10.1371/journal.pone.0237324. eCollection 2020. PMID: 32813701; PMCID: PMC7437901.
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Feature-Based Molecular Networking for Metabolite Annotation.

Methods in molecular biology (Clifton, N.J.)

Phelan VV.
PMID: 31953821
Methods Mol Biol. 2020;2104:227-243. doi: 10.1007/978-1-0716-0239-3_13.

The Global Natural Product Social Molecular Networking (GNPS) platform leverages tandem mass spectrometry (MS/MS) data for annotation of compounds. Molecular networks aid in the visualization of the chemical space within a metabolomics experiment. Recently, molecular networking has been combined...

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Phelan VV. Feature-Based Molecular Networking for Metabolite Annotation. Methods Mol Biol. 2020;2104:227-243doi: 10.1007/978-1-0716-0239-3_13.
Phelan, V. V. (2020). Feature-Based Molecular Networking for Metabolite Annotation. Methods in molecular biology (Clifton, N.J.), 2104227-243. https://doi.org/10.1007/978-1-0716-0239-3_13
Phelan, Vanessa V. "Feature-Based Molecular Networking for Metabolite Annotation." Methods in molecular biology (Clifton, N.J.) vol. 2104 (2020): 227-243. doi: https://doi.org/10.1007/978-1-0716-0239-3_13
Phelan VV. Feature-Based Molecular Networking for Metabolite Annotation. Methods Mol Biol. 2020;2104:227-243. doi: 10.1007/978-1-0716-0239-3_13. PMID: 31953821.
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Showing 1 to 12 of 63 entries