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

Year Number of Results
1966 1
1968 1
1974 1
1976 1
1978 1
1979 3
1980 1
1981 1
1982 1
1983 1
1984 2
1985 1
1987 5
1988 1
1989 3
1990 5
1991 1
1992 7
1993 3
1994 9
1995 10
1996 5
1997 4
1998 10
1999 12
2000 20
2001 10
2002 35
2003 50
2004 51
2005 82
2006 105
2007 119
2008 156
2009 189
2010 218
2011 273
2012 344
2013 430
2014 580
2015 606
2016 771
2017 816
2018 1047
2019 1224
2020 1490
2021 1901
2022 2000
2023 2039
2024 872

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13,962 results

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Standards and Guidelines for Validating Next-Generation Sequencing Bioinformatics Pipelines: A Joint Recommendation of the Association for Molecular Pathology and the College of American Pathologists.
Roy S, Coldren C, Karunamurthy A, Kip NS, Klee EW, Lincoln SE, Leon A, Pullambhatla M, Temple-Smolkin RL, Voelkerding KV, Wang C, Carter AB. Roy S, et al. J Mol Diagn. 2018 Jan;20(1):4-27. doi: 10.1016/j.jmoldx.2017.11.003. Epub 2017 Nov 21. J Mol Diagn. 2018. PMID: 29154853 Free article. Review.
Bioinformatics pipelines are an integral component of next-generation sequencing (NGS). Processing raw sequence data to detect genomic alterations has significant impact on disease management and patient care. ...
Bioinformatics pipelines are an integral component of next-generation sequencing (NGS). Processing raw sequence data to detect …
Analysis pipelines for calcium imaging data.
Pnevmatikakis EA. Pnevmatikakis EA. Curr Opin Neurobiol. 2019 Apr;55:15-21. doi: 10.1016/j.conb.2018.11.004. Epub 2019 Feb 15. Curr Opin Neurobiol. 2019. PMID: 30529147 Free article. Review.
Calcium imaging is a popular tool among neuroscientists because of its capability to monitor in vivo large neural populations across weeks with single neuron and single spike resolution. Before any downstream analysis, the data needs to be pre-processed to extract the loca …
Calcium imaging is a popular tool among neuroscientists because of its capability to monitor in vivo large neural populations across weeks w …
Systematic Identification of Non-coding RNAs.
Xiao Y, Hu J, Yin W. Xiao Y, et al. Adv Exp Med Biol. 2018;1094:9-18. doi: 10.1007/978-981-13-0719-5_2. Adv Exp Med Biol. 2018. PMID: 30191483 Review.
Here, we overviewed pipelines of identifying miRNAs and lncRNAs based on next-generation sequencing technologies. We applied the pipelines to identify miRNAs in multiple cell lines and perform expression quantification of mature, precursor and primary miRNAs. ...
Here, we overviewed pipelines of identifying miRNAs and lncRNAs based on next-generation sequencing technologies. We applied the p …
Diffusion-weighted J-resolved spectroscopy.
Landheer K, Schulte R, Geraghty B, Hanstock C, Chen AP, Cunningham CH, Graham SJ. Landheer K, et al. Magn Reson Med. 2017 Oct;78(4):1235-1245. doi: 10.1002/mrm.26514. Epub 2016 Oct 31. Magn Reson Med. 2017. PMID: 27797114 Free article.
METHODS: Two JPRESS spectra were collected (high b-value and low b-value), and the ADCs of 16 different metabolites were estimated. Two analysis pipelines were developed: 1) a 2D pipeline that uses ProFit software to extract ADCs from metabolites not typically acces …
METHODS: Two JPRESS spectra were collected (high b-value and low b-value), and the ADCs of 16 different metabolites were estimated. Two anal …
High-resolution structure determination using high-throughput electron cryo-tomography.
Liu HF, Zhou Y, Bartesaghi A. Liu HF, et al. Acta Crystallogr D Struct Biol. 2022 Jul 1;78(Pt 7):817-824. doi: 10.1107/S2059798322005010. Epub 2022 Jun 7. Acta Crystallogr D Struct Biol. 2022. PMID: 35775981 Free PMC article. Review.
The low throughput characteristic of tomographic data acquisition combined with the complex data-analysis pipeline that is required to obtain high-resolution maps, however, has limited the applicability of this technique to favorable samples or to resolutions that are too …
The low throughput characteristic of tomographic data acquisition combined with the complex data-analysis pipeline that is required t …
A computational pipeline for functional gene discovery.
Colon A, Hirday R, Patel A, Poddar A, Tuberty-Vaughan E, Fu T, Ai X, Li WV, Cai L. Colon A, et al. Sci Rep. 2021 Dec 7;11(1):23522. doi: 10.1038/s41598-021-03041-0. Sci Rep. 2021. PMID: 34876638 Free PMC article.
However, computational pipelines for functional gene detection rarely exist. We developed a new computational pipeline for functional gene identification from transcriptome profiling data. ...This pipeline can also be useful to discover functional genes for o …
However, computational pipelines for functional gene detection rarely exist. We developed a new computational pipeline for fun …
FooDis: A food-disease relation mining pipeline.
Cenikj G, Eftimov T, Koroušić Seljak B. Cenikj G, et al. Artif Intell Med. 2023 Aug;142:102586. doi: 10.1016/j.artmed.2023.102586. Epub 2023 May 20. Artif Intell Med. 2023. PMID: 37316100 Free article.
In this study, we propose FooDis, a novel Information Extraction pipeline that employs state-of-the-art approaches in Natural Language Processing to mine abstracts of biomedical scientific papers and automatically suggests potential cause or treat relations between …
In this study, we propose FooDis, a novel Information Extraction pipeline that employs state-of-the-art approaches in Natural Languag …
Failure Detection Methods for Pipeline Networks: From Acoustic Sensing to Cyber-Physical Systems.
Wong B, McCann JA. Wong B, et al. Sensors (Basel). 2021 Jul 21;21(15):4959. doi: 10.3390/s21154959. Sensors (Basel). 2021. PMID: 34372194 Free PMC article. Review.
In order to optimise the spatial use of the pipeline infrastructure, pipelines are either buried underground, or located in submarine environments. ...Our taxonomy of various pipeline failure detection methods is also presented in the form of a look-up table …
In order to optimise the spatial use of the pipeline infrastructure, pipelines are either buried underground, or located in su …
GPU-accelerated and pipelined methylation calling.
Feng Y, Gudukbay Akbulut G, Tang X, Gunasekaran JR, Rahman A, Medvedev P, Kandemir M. Feng Y, et al. Bioinform Adv. 2022 Nov 30;2(1):vbac088. doi: 10.1093/bioadv/vbac088. eCollection 2022. Bioinform Adv. 2022. PMID: 36699365 Free PMC article.
However, Nanopolish is limited by the long running time of some serial and computationally expensive processes. Among these, Adaptive Banded Event Alignment (ABEA) is the most time-consuming step, and the prior work, f5c, has already parallelized and optimized ABEA on GPU. …
However, Nanopolish is limited by the long running time of some serial and computationally expensive processes. Among these, Adaptive …
13,962 results
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