Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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An expanded evaluation of protein function prediction methods shows an improvement in accuracy
Jiang, Yuxiang ; Oron, Tal Ronnen ; Clark, Wyatt T. ; Bankapur, Asma R. ; Andrea, Daniel D'; Lepore, Rosalba ; Funk, Christopher S. ; Kahanda, Indika ; Verspoor, Karin M. ; Ben-Hur, Asa ; Koo, Da Chen Emily ; Penfold-Brown, Duncan ; Shasha, Dennis ; Youngs, Noah ; Bonneau, Richard ; Lin, Alexandra ; Sahraeian, Sayed M.E. ; Martelli, Pier Luigi ; Profiti, Giuseppe ; Casadio, Rita ; Cao, Renzhi ; Zhong, Zhaolong ; Cheng, Jianlin ; Altenhoff, Adrian ; Skunca, Nives ; Dessimoz, Christophe ; Dogan, Tunca ; Hakala, Kai ; Kaewphan, Suwisa ; Mehryary, Farrokh ; Salakoski, Tapio ; Ginter, Filip ; Fang, Hai ; Smithers, Ben ; Oates, Matt ; Gough, Julian ; Törönen, Petri ; Koskinen, Patrik ; Holm, Liisa ; Chen, Ching Tai ; Hsu, Wen Lian ; Bryson, Kevin ; Cozzetto, Domenico ; Minneci, Federico ; Jones, David T. ; Chapman, Samuel ; BKC, Dukka ; Khan, Ishita K. ; Kihara, Daisuke ; Ofer, Dan ; Rappoport, Nadav ; Stern, Amos ; Cibrian-Uhalte, Elena ; Denny, Paul ; Foulger, Rebecca E. ; Hieta, Reija ; Legge, Duncan ; Lovering, Ruth C. ; Magrane, Michele ; Melidoni, Anna N. ; Mutowo-Meullenet, Prudence ; Pichler, Klemens ; Shypitsyna, Aleksandra ; Li, Biao ; Zakeri, Pooya ; ElShal, Sarah ; Tranchevent, Léon Charles ; Das, Sayoni ; Dawson, Natalie L. ; Lee, David ; Lees, Jonathan G. ; Sillitoe, Ian ; Bhat, Prajwal ; Nepusz, Tamás ; Romero, Alfonso E. ; Sasidharan, Rajkumar ; Yang, Haixuan ; Paccanaro, Alberto ; Gillis, Jesse ; Sedeño-Cortés, Adriana E. ; Pavlidis, Paul ; Feng, Shou ; Cejuela, Juan M. ; Goldberg, Tatyana ; Hamp, Tobias ; Richter, Lothar ; Salamov, Asaf ; Gabaldon, Toni ; Marcet-Houben, Marina ; Supek, Fran ; Gong, Qingtian ; Ning, Wei ; Zhou, Yuanpeng ; Tian, Weidong ; Falda, Marco ; Fontana, Paolo ; Lavezzo, Enrico ; Toppo, Stefano ; Ferrari, Carlo ; Giollo, Manuel ; Piovesan, Damiano ; Tosatto, Silvio C.E. ; Pozo, Angela del; Fernández, José M. ; Maietta, Paolo ; Valencia, Alfonso ; Tress, Michael L. ; Benso, Alfredo ; Carlo, Stefano Di; Politano, Gianfranco ; Savino, Alessandro ; Rehman, Hafeez Ur ; Re, Matteo ; Mesiti, Marco ; Valentini, Giorgio ; Bargsten, Joachim W. ; Dijk, Aalt-Jan van; Gemovic, Branislava ; Glisic, Sanja ; Perovic, Vladmir ; Veljkovic, Veljko ; Veljkovic, Nevena ; Almeida-e-Silva, Danillo C. ; Vencio, Ricardo Z.N. ; Sharan, Malvika ; Vogel, Jörg ; Kansakar, Lakesh ; Zhang, Shanshan ; Vucetic, Slobodan ; Wang, Zheng ; Sternberg, Michael J.E. ; Wass, Mark N. ; Huntley, Rachael P. ; Martin, Maria J. ; O'Donovan, Claire ; Robinson, Peter N. ; Moreau, Yves ; Tramontano, Anna ; Babbitt, Patricia C. ; Brenner, Steven E. ; Linial, Michal ; Orengo, Christine A. ; Rost, Burkhard ; Greene, Casey S. ; Mooney, Sean D. ; Friedberg, Iddo ; Radivojac, Predrag - \ 2016
Genome Biology 17 (2016)1. - ISSN 1474-7596
Disease gene prioritization - Protein function prediction

Background: A major bottleneck in our understanding of the molecular underpinnings of life is the assignment of function to proteins. While molecular experiments provide the most reliable annotation of proteins, their relatively low throughput and restricted purview have led to an increasing role for computational function prediction. However, assessing methods for protein function prediction and tracking progress in the field remain challenging. Results: We conducted the second critical assessment of functional annotation (CAFA), a timed challenge to assess computational methods that automatically assign protein function. We evaluated 126 methods from 56 research groups for their ability to predict biological functions using Gene Ontology and gene-disease associations using Human Phenotype Ontology on a set of 3681 proteins from 18 species. CAFA2 featured expanded analysis compared with CAFA1, with regards to data set size, variety, and assessment metrics. To review progress in the field, the analysis compared the best methods from CAFA1 to those of CAFA2. Conclusions: The top-performing methods in CAFA2 outperformed those from CAFA1. This increased accuracy can be attributed to a combination of the growing number of experimental annotations and improved methods for function prediction. The assessment also revealed that the definition of top-performing algorithms is ontology specific, that different performance metrics can be used to probe the nature of accurate predictions, and the relative diversity of predictions in the biological process and human phenotype ontologies. While there was methodological improvement between CAFA1 and CAFA2, the interpretation of results and usefulness of individual methods remain context-dependent.

Does low-energy sweetener consumption affect energy intake and body weight? A systematic review, including meta-analyses, of the evidence from human and animal studies
Rogers, P.J. ; Hogenkamp, P.S. ; Graaf, Kees de; Higgs, S. ; Lluch, A. ; Ness, A.R. ; Penfold, C. ; Perry, R. ; Putz, P. ; Yeomans, M.R. ; Mela, D.J. - \ 2016
International Journal of Obesity 40 (2016)3. - ISSN 0307-0565 - p. 381 - 394.

By reducing energy density, low-energy sweeteners (LES) might be expected to reduce energy intake (EI) and body weight (BW). To assess the totality of the evidence testing the null hypothesis that LES exposure (versus sugars or unsweetened alternatives) has no effect on EI or BW, we conducted a systematic review of relevant studies in animals and humans consuming LES with ad libitum access to food energy. In 62 of 90 animal studies exposure to LES did not affect or decreased BW. Of 28 reporting increased BW, 19 compared LES with glucose exposure using a specific 'learning' paradigm. Twelve prospective cohort studies in humans reported inconsistent associations between LES use and body mass index (-0.002 kg m - 2 per year, 95% confidence interval (CI) -0.009 to 0.005). Meta-analysis of short-term randomized controlled trials (129 comparisons) showed reduced total EI for LES versus sugar-sweetened food or beverage consumption before an ad libitum meal (-94 kcal, 95% CI -122 to -66), with no difference versus water (-2 kcal, 95% CI -30 to 26). This was consistent with EI results from sustained intervention randomized controlled trials (10 comparisons). Meta-analysis of sustained intervention randomized controlled trials (4 weeks to 40 months) showed that consumption of LES versus sugar led to relatively reduced BW (nine comparisons; -1.35 kg, 95% CI -2.28 to -0.42), and a similar relative reduction in BW versus water (three comparisons; -1.24 kg, 95% CI -2.22 to -0.26). Most animal studies did not mimic LES consumption by humans, and reverse causation may influence the results of prospective cohort studies. The preponderance of evidence from all human randomized controlled trials indicates that LES do not increase EI or BW, whether compared with caloric or non-caloric (for example, water) control conditions. Overall, the balance of evidence indicates that use of LES in place of sugar, in children and adults, leads to reduced EI and BW, and possibly also when compared with water.

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