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Annual Scientific Report 2015

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037. Chiapparino A, Maeda K, Turei D, et al. (<strong>2015</strong>) The orchestra of<br />

lipid-transfer proteins at the crossroads between metabolism<br />

and signaling. Prog. Lipid Res. 61:30-39. doi:10.1016/j.<br />

plipres.<strong>2015</strong>.10.004<br />

038. Church DM, Schneider VA, Steinberg KM, et al. (<strong>2015</strong>) Extending<br />

reference assembly models. Genome Biol. 16:13. doi:10.1186/<br />

s13059-015-0587-3<br />

039. Clark MB, Mercer TR, Bussotti G, et al. (<strong>2015</strong>) Quantitative gene<br />

profiling of long noncoding RNAs with targeted RNA sequencing.<br />

Nat. Methods 12:339-342. doi:10.1038/nmeth.3321<br />

040. Collier N, Groza T, Smedley D, et al. (<strong>2015</strong>) PhenoMiner: from text<br />

to a database of phenotypes associated with OMIM diseases.<br />

Database (Oxford) <strong>2015</strong>: doi:10.1093/database/bav104<br />

041. Collier N, Oellrich A, Groza T (<strong>2015</strong>) Concept selection for<br />

phenotypes and diseases using learn to rank J. Biomed. Semantics<br />

6:24. doi:10.1186/s13326-015-0019-z<br />

042. Cook CE, Bergman MT, Finn RD, et al. (<strong>2015</strong>) The European<br />

Bioinformatics Institute in 2016: Data growth and integration.<br />

Nucleic Acids Res. 44:D20-D26. doi:10.1093/nar/gkv1352<br />

043. Cortes-Ciriano I, Murrell DS, van Westen GJ, et al. (<strong>2015</strong>)<br />

Prediction of the potency of mammalian cyclooxygenase inhibitors<br />

with ensemble proteochemometric modeling. J Cheminform 7:1.<br />

doi:10.1186/s13321-014-0049-z<br />

044. Cortes-Ciriano I, Ul Ain Q, Subramanian V, et al. (<strong>2015</strong>)<br />

Polypharmacology modelling using proteochemometrics (PCM):<br />

Recent methodological developments, applications to target<br />

families, and future prospects. Med. Chem. Comm. 6:24-50.<br />

doi:10.1039/c4md00216d<br />

045. Cortés-Ciriano I, van Westen GJ, Bouvier G, et al. (<strong>2015</strong>) Improved<br />

large-scale prediction of growth inhibition patterns using the NCI60<br />

cancer cell line panel. Bioinformatics (in press); doi:10.1093/<br />

bioinformatics/btv529<br />

046. Cunningham F, Moore B, Ruiz-Schultz N, et al. (<strong>2015</strong>) Improving<br />

the Sequence Ontology terminology for genomic variant<br />

annotation. J. Biomed. Semantics 6:32. doi:10.1186/s13326-015-<br />

0030-4<br />

047. Dahlman I, Sinha I, Gao H, et al. (<strong>2015</strong>) The fat cell epigenetic<br />

signature in post-obese women is characterized by global<br />

hypomethylation and differential DNA methylation of adipogenesis<br />

genes. Int. J. Obes. (Lond) 39:910-919. doi:10.1038/ijo.<strong>2015</strong>.31<br />

048. Davies M, Dedman N, Hersey A, et al. (<strong>2015</strong>) ADME SARfari:<br />

comparative genomics of drug metabolizing systems.<br />

Bioinformatics 31:1695-1697. doi:10.1093/bioinformatics/btv010<br />

049. Davies M, Nowotka M, Papadatos G, et al. (<strong>2015</strong>) ChEMBL web<br />

services: streamlining access to drug discovery data and utilities.<br />

Nucleic Acids Res. 43:w612-w620. doi:10.1093/nar/gkv352<br />

050. de Lange KM, Barrett JC (<strong>2015</strong>) Understanding inflammatory<br />

bowel disease via immunogenetics. J. Autoimmun. 64:91-100.<br />

doi:10.1016/j.jaut.<strong>2015</strong>.07.013<br />

051. de Villavicencio-Díaz TN, Gómez YR, Argüelles BO, et al. (<strong>2015</strong>)<br />

Comparative proteomics analysis of the antitumor effect of<br />

CIGB-552 peptide in HT-29 colon adenocarcinoma cells. J.<br />

Proteomics 126:163-171. doi:10.1016/j.jprot.<strong>2015</strong>.05.024<br />

052. Deans AR, Lewis SE, Huala E, et al. (<strong>2015</strong>) Finding our way<br />

through phenotypes. PLoS Biol. 13:e1002033. doi:10.1371/<br />

journal.pbio.1002033<br />

053. Denas O, Sandstrom R, Cheng Y, et al. (<strong>2015</strong>) Genome-wide<br />

comparative analysis reveals human-mouse regulatory landscape<br />

and evolution BMC Genomics 16:87. doi:10.1186/s12864-015-<br />

1245-6<br />

054. Deutsch EW, Albar JP, Binz PA, et al. (<strong>2015</strong>) Development of data<br />

representation standards by the human proteome organization<br />

proteomics standards initiative. J. Am. Med. Inform. Assoc.<br />

22:495-506. doi:10.1093/jamia/ocv001<br />

055. Diaz-Muñoz MD, Bell SE, Fairfax K, et al. (<strong>2015</strong>) The RNA-binding<br />

protein HuR is essential for the B cell antibody response. Nat.<br />

Immunol. 16:415-425. doi:10.1038/ni.3115<br />

056. Ding Z, Ni Y, Timmer SW, et al. (<strong>2015</strong>) Correction: Quantitative<br />

genetics of CTCF binding reveal local sequence effects and<br />

different modes of X-chromosome association. PLoS Genet. 11:<br />

e1005177. doi:10.1371/journal.pgen.1005177<br />

057. Dong H, Nebert DW, Bruford EA, et al. (<strong>2015</strong>) Update of the<br />

human and mouse Fanconi anemia genes. Hum. Genomics 9:32.<br />

doi:10.1186/s40246-015-0054-y<br />

058. Dritsou V, Topalis P, Windbichler N, et al. (<strong>2015</strong>) A draft genome<br />

sequence of an invasive mosquito: an Italian Aedes albopictus.<br />

Pathog. Glob. Health 109:207-220. doi:10.1179/204777321<br />

5Y.0000000031<br />

059. Duarte AM, Psomopoulos FE, Blanchet C, et al. (<strong>2015</strong>) Future<br />

opportunities and trends for e-infrastructures and life sciences:<br />

going beyond the grid to enable life science data analysis. Front<br />

Genet 6:197. doi:10.3389/fgene.<strong>2015</strong>.00197<br />

060. Dubin MJ, Zhang P, Meng D, et al. (<strong>2015</strong>) DNA methylation in<br />

Arabidopsis has a genetic basis and shows evidence of local<br />

adaptation. Elife 4: e05255 doi:10.7554/elife.05255<br />

061. Dutta-Roy R, Rosenmund C, Edelstein SJ, et al. (<strong>2015</strong>) Liganddependent<br />

opening of the multiple AMPA receptor conductance<br />

States: a concerted model. PLoS ONE 10: e0116616.<br />

doi:10.1371/journal.pone.0116616<br />

062. Dyke SOM, Cheung WA, Joly Y, et al. (<strong>2015</strong>) Epigenome data<br />

release: A participant-centered approach to privacy protection.<br />

Genome Biol. 16:142. doi:10.1186/s13059-015-0723-0<br />

063. Eduati F, Mangravite LM, Wang T, et al. (<strong>2015</strong>) Prediction of human<br />

population responses to toxic compounds by a collaborative<br />

competition. Nat. Biotechnol. 33:933-U172. doi:10.1038/nbt.3299<br />

064. Emwas AH, Luchinat C, Turano P, et al. (<strong>2015</strong>) Standardizing the<br />

experimental conditions for using urine in NMR-based metabolomic<br />

studies with a particular focus on diagnostic studies: a review.<br />

Metabolomics 11:872-894. doi:10.1007/s11306-014-0746-7<br />

065. Eory L, Gilbert MTP, Li C, et al. (<strong>2015</strong>) Avianbase: a community<br />

resource for bird genomics Genome Biol. 16:21. doi:10.1186/<br />

s13059-015-0588-2<br />

066. Fabregat A, Sidiropoulos K, Garapati P, et al. (<strong>2015</strong>) The Reactome<br />

Pathway Knowledgebase. Nucleic Acids Res. 44:D481-D487.<br />

doi:10.1093/nar/gkv1351<br />

067. Faddeeva A, Studer RA, Kraaijeveld K, et al. (<strong>2015</strong>) Collembolan<br />

transcriptomes highlight molecular evolution of hexapods and<br />

provide clues on the adaptation to terrestrial life. PLoS ONE 10:<br />

e0130600. doi:10.1371/journal.pone.0130600<br />

068. Farnell EJ, Tyagi N, Ryan S, et al. (<strong>2015</strong>) Known allergen structures<br />

predict Schistosoma mansoni IgE-binding antigens in human<br />

infection. Front. Immunol. 6:26. doi:10.3389/fimmu.<strong>2015</strong>.00026<br />

069. Ferreira P, Fonseca NA, Dutra I, et al. (<strong>2015</strong>) Predicting<br />

malignancy from mammography findings and image-guided core<br />

biopsies Int. J. Data Min. Bioinform. 11:257-276. doi:10.1504/<br />

IJDMB.<strong>2015</strong>.067319<br />

070. Fiehn O, Putri SP, Saito K, et al. (<strong>2015</strong>) Metabolomics continues<br />

to expand: highlights from the <strong>2015</strong> metabolomics conference.<br />

Metabolomics 11:1036-1040. doi:10.1007/s11306-015-0846-z<br />

071. Finn RD, Clements J, Arndt W, et al. (<strong>2015</strong>) HMMER web server:<br />

<strong>2015</strong> update. Nucleic Acids Res. 43:w30-w38. doi:10.1093/nar/<br />

gkv397<br />

072. Finn RD, Coggill P, Eberhardt RY, et al. (<strong>2015</strong>) The Pfam protein<br />

families database: towards a more sustainable future. Nucleic<br />

Acids Res. 44:D279-D285. doi:10.1093/nar/gkv1344<br />

073. Forster SC, Browne HP, Kumar N, et al. (<strong>2015</strong>) HPMCD: the<br />

database of human microbial communities from metagenomic<br />

datasets and microbial reference genomes. Nucleic Acids Res.<br />

44:D604-D609. doi:10.1093/nar/gkv1216<br />

074. Foulger RE, Osumi-Sutherland D, McIntosh BK, et al. (<strong>2015</strong>)<br />

Representing virus-host interactions and other multi-organism<br />

processes in the Gene Ontology. BMC Microbiol. 15:146.<br />

doi:10.1186/s12866-015-0481-x<br />

075. Frankish A, Uszczynska B, Ritchie GRS, et al. (<strong>2015</strong>) Comparison<br />

of GENCODE and RefSeq gene annotation and the impact of<br />

reference geneset on variant effect prediction. BMC Genomics 16:<br />

doi:10.1186/1471-2164-16-S8-S2<br />

<strong>2015</strong> EMBL-EBI <strong>Annual</strong> <strong>Scientific</strong> <strong>Report</strong> 69

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