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Items: 1 to 20 of 81696

1.

Imaging Genomics of Embryonal Tumors of the Central Nervous System.

Lim W, Mankad K.

Radiographics. 2018 Jul-Aug;38(4):1286. doi: 10.1148/rg.2018180116. No abstract available.

PMID:
29995622
2.

Epigenetic Control of Interleukin-9 in Asthma.

Lloyd CM, Harker JA.

N Engl J Med. 2018 Jul 5;379(1):87-89. doi: 10.1056/NEJMcibr1803610. No abstract available.

PMID:
29972761
3.

Quantitative proteomics analysis of vitreous body from type 2 diabetic patients with proliferative diabetic retinopathy.

Li J, Lu Q, Lu P.

BMC Ophthalmol. 2018 Jun 26;18(1):151. doi: 10.1186/s12886-018-0821-3.

4.

Cloud computing applications for biomedical science: A perspective.

Navale V, Bourne PE.

PLoS Comput Biol. 2018 Jun 14;14(6):e1006144. doi: 10.1371/journal.pcbi.1006144. eCollection 2018 Jun.

5.

φ-evo: A program to evolve phenotypic models of biological networks.

Henry A, Hemery M, François P.

PLoS Comput Biol. 2018 Jun 11;14(6):e1006244. doi: 10.1371/journal.pcbi.1006244. eCollection 2018 Jun.

6.

Improving metabolome coverage and data quality: advancing metabolomics and lipidomics for biomarker discovery.

Vuckovic D.

Chem Commun (Camb). 2018 Jun 19;54(50):6728-6749. doi: 10.1039/c8cc02592d.

PMID:
29888773
7.

In vivo and in silico dynamics of the development of Metabolic Syndrome.

Rozendaal YJW, Wang Y, Paalvast Y, Tambyrajah LL, Li Z, Willems van Dijk K, Rensen PCN, Kuivenhoven JA, Groen AK, Hilbers PAJ, van Riel NAW.

PLoS Comput Biol. 2018 Jun 7;14(6):e1006145. doi: 10.1371/journal.pcbi.1006145. eCollection 2018 Jun.

8.

Limits on reliable information flows through stochastic populations.

Boczkowski L, Natale E, Feinerman O, Korman A.

PLoS Comput Biol. 2018 Jun 6;14(6):e1006195. doi: 10.1371/journal.pcbi.1006195. eCollection 2018 Jun.

9.

Latent environment allocation of microbial community data.

Higashi K, Suzuki S, Kurosawa S, Mori H, Kurokawa K.

PLoS Comput Biol. 2018 Jun 6;14(6):e1006143. doi: 10.1371/journal.pcbi.1006143. eCollection 2018 Jun.

10.

A New Integrated Newborn Screening Workflow Can Provide a Shortcut to Differential Diagnosis and Confirmation of Inherited Metabolic Diseases.

Ko JM, Park KS, Kang Y, Nam SH, Kim Y, Park I, Chae HW, Lee SM, Lee KA, Kim JW.

Yonsei Med J. 2018 Jul;59(5):652-661. doi: 10.3349/ymj.2018.59.5.652.

11.

Applicability of supercritical fluid chromatography - mass spectrometry to metabolomics. I - Optimization of separation conditions for the simultaneous analysis of hydrophilic and lipophilic substances.

Desfontaine V, Losacco GL, Gagnebin Y, Pezzatti J, Farrell WP, González-Ruiz V, Rudaz S, Veuthey JL, Guillarme D.

J Chromatogr A. 2018 Aug 10;1562:96-107. doi: 10.1016/j.chroma.2018.05.055. Epub 2018 May 28.

PMID:
29861304
12.

Widely targeted metabolomics of Alzheimer's disease postmortem cerebrospinal fluid based on 9-fluorenylmethyl chloroformate derivatized ultra-high performance liquid chromatography tandem mass spectrometry.

Muguruma Y, Tsutsui H, Noda T, Akatsu H, Inoue K.

J Chromatogr B Analyt Technol Biomed Life Sci. 2018 Aug 1;1091:53-66. doi: 10.1016/j.jchromb.2018.05.031. Epub 2018 May 23.

PMID:
29852382
13.

Submit a Topic Page to PLOS Computational Biology and Wikipedia.

Mietchen D, Wodak S, Wasik S, Szostak N, Dessimoz C.

PLoS Comput Biol. 2018 May 31;14(5):e1006137. doi: 10.1371/journal.pcbi.1006137. eCollection 2018 May. No abstract available.

14.

Identification of key genes in rheumatoid arthritis and osteoarthritis based on bioinformatics analysis.

Zhu N, Hou J, Wu Y, Li G, Liu J, Ma G, Chen B, Song Y.

Medicine (Baltimore). 2018 Jun;97(22):e10997. doi: 10.1097/MD.0000000000010997.

15.

Identifying key genes, pathways and screening therapeutic agents for manganese-induced Alzheimer disease using bioinformatics analysis.

Ling J, Yang S, Huang Y, Wei D, Cheng W.

Medicine (Baltimore). 2018 Jun;97(22):e10775. doi: 10.1097/MD.0000000000010775.

16.

Genomic analysis of bifunctional Class C-Class D β-lactamases in environmental bacteria.

Silveira MC, Catanho M, Miranda AB.

Mem Inst Oswaldo Cruz. 2018;113(8):e180098. doi: 10.1590/0074-02760180098. Epub 2018 May 28.

17.

Pan-genomic approach shows insight of genetic divergence and pathogenic-adaptation of Pasteurella multocida.

Hurtado R, Carhuaricra D, Soares S, Viana MVC, Azevedo V, Maturrano L, Aburjaile F.

Gene. 2018 Sep 5;670:193-206. doi: 10.1016/j.gene.2018.05.084. Epub 2018 May 24.

PMID:
29802996
18.

Dissecting metabolic behavior of lipid over-producing strain of Mucor circinelloides through genome-scale metabolic network and multi-level data integration.

Vongsangnak W, Kingkaw A, Yang J, Song Y, Laoteng K.

Gene. 2018 Sep 5;670:87-97. doi: 10.1016/j.gene.2018.05.085. Epub 2018 May 23.

PMID:
29800733
19.

Genomics driven approach for identification of novel therapeutic targets in Salmonella enterica.

Gawade P, Ghosh P.

Gene. 2018 Aug 20;668:211-220. doi: 10.1016/j.gene.2018.05.058. Epub 2018 May 18.

PMID:
29778427
20.

Metabolomics in breast cancer: A decade in review.

McCartney A, Vignoli A, Biganzoli L, Love R, Tenori L, Luchinat C, Di Leo A.

Cancer Treat Rev. 2018 Jun;67:88-96. doi: 10.1016/j.ctrv.2018.04.012. Epub 2018 May 3. Review.

PMID:
29775779

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