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1994 1
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Page 1
Design of the LifeArc Index Set and Retrospective Review of Its Performance: A Collection for Sharing.
Birchall K, Merritt A, Sattikar A, Kettleborough C, Saxty B. Birchall K, et al. SLAS Discov. 2019 Mar;24(3):332-345. doi: 10.1177/2472555218803696. Epub 2018 Oct 5. SLAS Discov. 2019. PMID: 30290126 Free article. Review.
Here we describe the selection criteria used to compile the LifeArc diversity set from commercial suppliers and the process we undertook to generate our representative LifeArc index set. The aim was to avoid a "junk in, junk out" screen collection to increase chemic …
Here we describe the selection criteria used to compile the LifeArc diversity set from commercial suppliers and the process we undertook to …
Long Non-coding RNA in Plants in the Era of Reference Sequences.
Budak H, Kaya SB, Cagirici HB. Budak H, et al. Front Plant Sci. 2020 Mar 12;11:276. doi: 10.3389/fpls.2020.00276. eCollection 2020. Front Plant Sci. 2020. PMID: 32226437 Free PMC article. Review.
The discovery of non-coding RNAs (ncRNAs), and the subsequent elucidation of their functional roles, was largely delayed due to the misidentification of non-protein-coding parts of DNA as "junk DNA," which forced ncRNAs into the shadows of their protein-coding counterparts …
The discovery of non-coding RNAs (ncRNAs), and the subsequent elucidation of their functional roles, was largely delayed due to the misident …
Mining treasures from 'junk DNA'.
Nowak R. Nowak R. Science. 1994 Feb 4;263(5147):608-10. doi: 10.1126/science.7508142. Science. 1994. PMID: 7508142 No abstract available.
The MARK-AGE extended database: data integration and pre-processing.
Baur J, Kötter T, Moreno-Villanueva M, Sindlinger T, Berthold MR, Bürkle A, Junk M. Baur J, et al. Mech Ageing Dev. 2015 Nov;151:31-7. doi: 10.1016/j.mad.2015.05.006. Epub 2015 May 21. Mech Ageing Dev. 2015. PMID: 26004672 Free article.
Whose DNA is it anyway? European court, junk DNA, and the problem with prediction.
Sarkar SP, Adshead G. Sarkar SP, et al. J Am Acad Psychiatry Law. 2010;38(2):247-50. J Am Acad Psychiatry Law. 2010. PMID: 20542946
New proposals in response, however, raise more questions than they sought to answer, ranging from unfettered data mining to the pitfalls in risk prediction....
New proposals in response, however, raise more questions than they sought to answer, ranging from unfettered data mining to the pitfa …
Dietary patterns analysis using data mining method. An application to data from the CYKIDS study.
Lazarou C, Karaolis M, Matalas AL, Panagiotakos DB. Lazarou C, et al. Comput Methods Programs Biomed. 2012 Nov;108(2):706-14. doi: 10.1016/j.cmpb.2011.12.011. Epub 2012 Jan 31. Comput Methods Programs Biomed. 2012. PMID: 22296977
Data mining is a computational method that permits the extraction of patterns from large databases. ...Rules emerged via data mining approach revealed the detrimental influence of the increased consumption of soft dinks, delicatessen meat, sweets, fried and junk …
Data mining is a computational method that permits the extraction of patterns from large databases. ...Rules emerged via data mini …
fRNAdb: a platform for mining/annotating functional RNA candidates from non-coding RNA sequences.
Kin T, Yamada K, Terai G, Okida H, Yoshinari Y, Ono Y, Kojima A, Kimura Y, Komori T, Asai K. Kin T, et al. Nucleic Acids Res. 2007 Jan;35(Database issue):D145-8. doi: 10.1093/nar/gkl837. Epub 2006 Nov 11. Nucleic Acids Res. 2007. PMID: 17099231 Free PMC article.
Some of these transcripts may have novel functions while others might be junk transcripts. Unfortunately, the experimental validation of such transcripts to find functional non-coding RNA candidates is very costly. Therefore, our primary interest is to computationally m …
Some of these transcripts may have novel functions while others might be junk transcripts. Unfortunately, the experimental validation …
COMPASSS (COMplex PAttern of Sequence Search Software), a simple and effective tool for mining complex motifs in whole genomes.
Maccari G, Gemignani F, Landi S. Maccari G, et al. Bioinformatics. 2010 Jul 15;26(14):1777-8. doi: 10.1093/bioinformatics/btq258. Epub 2010 May 25. Bioinformatics. 2010. PMID: 20501554
The major part of the genome is made up of non-coding DNA, regulatory elements and junk DNA. Transcriptional regulation plays a central role in a multitude of critical cellular processes and responses, and it is a central force in the development and differentiation of mul …
The major part of the genome is made up of non-coding DNA, regulatory elements and junk DNA. Transcriptional regulation plays a centr …
[Total mercury in hair: a contribution to the evaluation of mercury exposure levels in Poconé, Mato Grosso, Brazil].
Nogueira F, Nascimento Od, Silva EC, Junk W. Nogueira F, et al. Cad Saude Publica. 1997 Oct;13(4):601-609. doi: 10.1590/s0102-311x1997000400004. Cad Saude Publica. 1997. PMID: 10886902 Free article. Portuguese.
There are some 60 gold-mining sites in the Bento Gomes River basin (Mato Grosso), at the border of the Mato Grosso Pantanal (Swamp), where mercury is used to agglutinate fine gold particles through amalgamation. ...The results were lower than for other populations from gol …
There are some 60 gold-mining sites in the Bento Gomes River basin (Mato Grosso), at the border of the Mato Grosso Pantanal (Swamp), …
12 results