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1. Full Text The bioinformatics of the yeast genome—A historical perspective
by Mewes, Hans‐Werner
Yeast, ISSN 0749-503X, 04/2019, Volume 36, Issue 4, pp. 161 - 165
From 1989 to 1997, the yeast genome was sequenced by a worldwide international consortium initiated and conducted by André Goffeau (1935–2018). The article... 
yeast genome project | bioinformatics | MICROBIOLOGY | MYCOLOGY | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | BIOCHEMISTRY & MOLECULAR BIOLOGY | Genome, Fungal | History, 21st Century | Saccharomyces cerevisiae - genetics | History, 20th Century | Computational Biology - history | Genomics | Computational biology | Genomes | Yeast | Bioinformatics | Computer applications | Index Medicus
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2. Full Text Human metabolic individuality in biomedical and pharmaceutical research
by Suhre, Karsten and Shin, So-Youn and Petersen, Ann-Kristin and Mohney, Robert P and Meredith, David and Wägele, Brigitte and Altmaier, Elisabeth and Deloukas, Panos and Erdmann, Jeanette and Grundberg, Elin and Hammond, Christopher J and De Angelis, Martin Hrabé and Kastenmüller, Gabi and Köttgen, Anna and Kronenberg, Florian and Mangino, Massimo and Meisinger, Christa and Meitinger, Thomas and Mewes, Hans-Werner and Milburn, Michael V and Prehn, Cornelia and Raffler, Johannes and Ried, Janina S and Römisch-Margl, Werner and Samani, Nilesh J and Small, Kerrin S and -Erich Wichmann, H and Zhai, Guangju and Illig, Thomas and Spector, Tim D and Adamski, Jerzy and Soranzo, Nicole and Gieger, Christian and CARDIoGRAM
Nature, ISSN 0028-0836, 09/2011, Volume 477, Issue 7362, pp. 54 - 62
Genome-wide association studies (GWAS) have identified many risk loci for complex diseases, but effect sizes are typically small and information on the... 
GENETIC-VARIATION | CONTRIBUTE | METAANALYSIS | VARIANTS | MULTIDISCIPLINARY SCIENCES | TRANSPORTER FAMILY | RISK | LOCI | CHRONIC KIDNEY-DISEASE | BILIRUBIN LEVELS | GENOME-WIDE ASSOCIATION | Metabolomics | Diabetes Mellitus - genetics | Humans | Middle Aged | Genetic Loci - genetics | Male | Blood - metabolism | Genetic Variation | Young Adult | Aged, 80 and over | Adult | Biomedical Research | Female | Child | Metabolism - genetics | Renal Insufficiency - genetics | Genome-Wide Association Study | Pharmacogenetics | Drug Industry | Risk Factors | Genotype | Venous Thromboembolism - genetics | Adolescent | Coronary Artery Disease - genetics | Aged | Chronic Disease | Care and treatment | Usage | Physiological aspects | Crohn's disease | Genetic aspects | Genomes | Diagnosis | Research | Risk factors | Studies | Statistical analysis | Metabolites | Data collection | Genetics | Gene loci | Diabetes | Metabolism | Chronic illnesses | Index Medicus
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3. Full Text Large-scale modeling of condition-specific gene regulatory networks by information integration and inference
by Ellwanger, Daniel Christian and Leonhardt, Jörn Florian and Mewes, Hans-Werner
Nucleic Acids Research, ISSN 0305-1048, 12/2014, Volume 42, Issue 21, pp. e166 - e166
Understanding how regulatory networks globally coordinate the response of a cell to changing conditions, such as perturbations by shifting environments, is an... 
Methods Online
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4. Full Text Metabolic footprint of diabetes: A multiplatform metabolomics study in an epidemiological setting
by Suhre, Karsten and Meisinger, Christa and Döring, Angela and Altmaier, Elisabeth and Belcredi, Petra and Gieger, Christian and Chang, David and Milburn, Michael V and Gall, Walter E and Weinberger, Klaus M and Mewes, Hans-Werner and Angelis, Martin Hrabé and Wichmann, H.-Erich and Kronenberg, Florian and Adamski, Jerzy and Illig, Thomas
PLoS ONE, ISSN 1932-6203, 2010, Volume 5, Issue 11, pp. e13953 - e13953
Background: Metabolomics is the rapidly evolving field of the comprehensive measurement of ideally all endogenous metabolites in a biological fluid. However,... 
METABONOMICS | PLASMA | AMINO-ACIDS | MULTIDISCIPLINARY SCIENCES | RENAL-FAILURE | TARGETED METABOLOMICS | MELLITUS | TANDEM MASS-SPECTROMETRY | QUANTITATIVE-ANALYSIS | ACID CONCENTRATIONS | BIOLOGICAL-SYSTEMS | Amino Acid Sequence | Arachidonic Acid - metabolism | Humans | Ketone Bodies - metabolism | Middle Aged | Carbohydrate Metabolism | Molecular Sequence Data | Male | Diabetes Mellitus, Type 2 - metabolism | Metabolomics - methods | Diabetes Mellitus, Type 2 - epidemiology | Germany - epidemiology | Amino Acids - metabolism | Diabetes Mellitus, Type 2 - blood | Glucose - metabolism | Aged | Fatty Acids - metabolism | Type 2 diabetes | Bile acids | Metabolites | Branched chain amino acids | Physiological aspects | Research | Fatty acids | Mass spectrometry | Epidemiology | Diabetes therapy | Drugs | Metabolomics | Deregulation | Nuclear magnetic resonance--NMR | Chain branching | Amino acids | Microflora | Genomes | Biology | Ketone bodies | Food science | Medical diagnosis | Rodents | Genetics | Population | Life sciences | Bioindicators | Lipid metabolism | Bioinformatics | Sugar | Salicylic acid | Complications | Pioglitazone | Diabetes mellitus | Environmental health | Mass spectroscopy | Metabolism | Studies | Hypotheses | Acids | Biomarkers | Scientific imaging | Metabolic pathways | Diabetes | Sulfate | Homocysteine | Metabolic disorders | Kidney transplantation | Bile | Index Medicus | Nuclear magnetic resonance | NMR
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5. Full Text The Fusarium graminearumgenome reveals more secondary metabolite gene clusters and hints of horizontal gene transfer
by Sieber, Christian M. K and Lee, Wanseon and Wong, Philip and Münsterkötter, Martin and Mewes, Hans-Werner and Schmeitzl, Clemens and Varga, Elisabeth and Berthiller, Franz and Adam, Gerhard and Güldener, Ulrich
PLoS ONE, 10/2014, Volume 9, Issue 10
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6. Full Text A genome-wide perspective of genetic variation in human metabolism
by Römisch-Margl, Werner and Kronenberg, Florian and Wichmann, H-Erich and Prehn, Cornelia and Soranzo, Nicole and Adamski, Jerzy and Gieger, Christian and Altmaier, Elisabeth and Kastenmüller, Gabi and Illig, Thomas and Mewes, Hans-Werner and Wang-Sattler, Rui and Suhre, Karsten and de Angelis, Martin Hrabé and Kato, Bernet S and Spector, Tim D and Zhai, Guangju and Meitinger, Thomas
Nature Genetics, ISSN 1061-4036, 02/2010, Volume 42, Issue 2, pp. 137 - 141
Serum metabolite concentrations provide a direct readout of biological processes in the human body, and they are associated with disorders such as... 
FASTING GLUCOSE | POPULATION | METABOLOMICS | VARIANTS | DISEASE | FREQUENCY | GENETICS & HEREDITY | RISK | LOCI | POLYMORPHISM | ASSOCIATION | Genetic Variation | Genome-Wide Association Study | Reproducibility of Results | Humans | Genetic Loci - genetics | Polymorphism, Single Nucleotide - genetics | United Kingdom | Genome, Human - genetics | Metabolome - genetics | Metabolic diseases | Genetic aspects | Research | Genetic polymorphisms | Risk factors | Medical research | Ratios | Biomedical research | Sample size | Genetics | Grants | Metabolism | Mass spectrometry | Independent sample | Index Medicus
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7. Full Text Genetics meets metabolomics: A genome-wide association study of metabolite profiles in human serum
by Gieger, Christian and Geistlinger, Ludwig and Altmaier, Elisabeth and De Angelis, Martin Hrabé and Kronenberg, Florian and Meitinger, Thomas and Mewes, Hans-Werner and Wichmann, H.-Erich and Weinberger, Klaus M and Adamski, Jerzy and Illig, Thomas and Suhre, Karsten
PLoS Genetics, ISSN 1553-7390, 11/2008, Volume 4, Issue 11, pp. e1000282 - e1000282
The rapidly evolving field of metabolomics aims at a comprehensive measurement of ideally all endogenous metabolites in a cell or body fluid. It thereby... 
LIPIDOMICS | GENOTYPES | POPULATION | METABONOMICS | VARIANTS | GENETICS & HEREDITY | CARDIOVASCULAR-DISEASE | PHENOTYPES | LOCI | SPECTRUM | CORONARY-ARTERY-DISEASE | Fatty Acid Desaturases - metabolism | Humans | Ubiquitin-Protein Ligases - metabolism | Male | Blood Proteins - metabolism | Phosphoproteins - metabolism | Metabolomics - methods | Phenotype | Genetics | Polymorphism, Single Nucleotide | Genome, Human | Genome-Wide Association Study - methods | Organic Chemicals - blood | Physiological aspects | Metabolomics | Serum | Genetic aspects | Research | Genetic variation | Index Medicus | Studies | Carbohydrates | Health sciences | Metabolites | Homeostasis | Amino acids | Lipids | Life sciences | Genomes
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8. Full Text The sufficient minimal set of miRNA seed types
by Ellwanger, Daniel C and Büttner, Florian A and Mewes, Hans-Werner and Stümpflen, Volker
Bioinformatics, ISSN 1367-4803, 05/2011, Volume 27, Issue 10, pp. 1346 - 1350
Motivation: Pairing between the target sequence and the 6-8 nt long seed sequence of the miRNA presents the most important feature for miRNA target site... 
IMPACT | PROTEIN | MAMMALIAN MICRORNAS | SITE ACCESSIBILITY | DETERMINANTS | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | BIOCHEMICAL RESEARCH METHODS | MATHEMATICAL & COMPUTATIONAL BIOLOGY | TARGETS | PREDICTION | Eukaryotic Initiation Factors - metabolism | Oligonucleotides - genetics | Oligonucleotide Array Sequence Analysis | Humans | RNA, Messenger - genetics | MicroRNAs - metabolism | Gene Expression Profiling | RNA, Messenger - metabolism | Oligonucleotides - metabolism | Algorithms | Animals | Base Sequence | Mice | MicroRNAs - genetics | MicroRNAs - chemistry | Index Medicus | Discovery Note
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9. Full Text Sequence-Based Prediction of Type III Secreted Proteins
by Arnold, Roland and Brandmaier, Stefan and Kleine, Frederick and Tischler, Patrick and Heinz, Eva and Behrens, Sebastian and Niinikoski, Antti and Mewes, Hans-Werner and Horn, Matthias and Rattei, Thomas
PLoS Pathogens, ISSN 1553-7366, 04/2009, Volume 5, Issue 4, pp. e1000376 - e1000376
The type III secretion system (TTSS) is a key mechanism for host cell interaction used by a variety of bacterial pathogens and symbionts of plants and animals... 
SIGNAL | PATHOGEN PSEUDOMONAS-SYRINGAE | SALMONELLA | MICROBIOLOGY | SYSTEM EFFECTOR PROTEINS | IDENTIFICATION | BACTERIAL PATHOGENS | VIROLOGY | DATABASE | SCREEN | GENOMES | PV. TOMATO DC3000 | PARASITOLOGY | Amino Acid Sequence | Escherichia | Salmonella | Computational Biology - methods | Protein Structure, Secondary | Artificial Intelligence | Yersinia | Bacterial Proteins - chemistry | Bacterial Proteins - secretion | Chlamydia | Gram-Negative Bacteria - chemistry | Protein Sorting Signals - genetics | Databases, Protein | Conserved Sequence | Evolution, Molecular | Host-bacteria relationships | Bacterial proteins | Secretion | Physiological aspects | Genetic aspects | Research | Virulence (Microbiology) | Index Medicus | Animals | Microbiology | Pathogenesis | Taxonomy | Bacteria | Genomes | Gram-negative bacteria | Bacteriology
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10. Full Text Exome sequencing identifies ACAD9 mutations as a cause of complex I deficiency
by Hoser, Jonathan and Uziel, Graziella and Haack, Tobias B and Zeviani, Massimo and Danhauser, Katharina and Lamantea, Eleonora and Rolinski, Boris and Prokisch, Holger and Haberberger, Birgit and Biskup, Saskia and Iuso, Arcangela and Boehm, Detlef and Wittig, Ilka and Schmidt, Thorsten and Meitinger, Thomas and Poulton, Joanna and Invernizzi, Federica and Strecker, Valentina and Mewes, Hans-Werner
Nature Genetics, ISSN 1061-4036, 12/2010, Volume 42, Issue 12, pp. 1131 - 1134
An isolated defect of respiratory chain complex I activity is a frequent biochemical abnormality in mitochondrial disorders. Despite intensive investigation in... 
BETA-OXIDATION | DIAGNOSIS | CELLS | DATABASE | MITOCHONDRIAL | GENETICS & HEREDITY | PAGE | CAPTURE | Amino Acid Sequence | Cell Line | Transduction, Genetic | Electron Transport Complex I - deficiency | Humans | Child, Preschool | Molecular Sequence Data | Electrophoresis, Gel, Two-Dimensional | Exons - genetics | Infant | Male | Riboflavin - pharmacology | Acyl-CoA Dehydrogenases - genetics | Mutation - genetics | Electron Transport Complex I - metabolism | Genetic Complementation Test | Sequence Analysis, DNA | Acyl-CoA Dehydrogenases - chemistry | Fibroblasts - drug effects | Female | Child | Fibroblasts - metabolism | Usage | Gene mutations | NADH dehydrogenase | Physiological aspects | Genetic aspects | Research | Nucleotide sequencing | Health aspects | Proteins | Genetics | Mutation | Genes | Index Medicus
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11. Full Text The Fusarium graminearum Genome Reveals More Secondary Metabolite Gene Clusters and Hints of Horizontal Gene Transfer
by Sieber, CMK and Lee, W and Wong, P and Munsterkotter, M and Mewes, HW and Schmeitzl, C and Varga, E and Berthiller, F and Adam, G and Guldener, U
PLOS ONE, ISSN 1932-6203, 10/2014, Volume 9, Issue 10, pp. e110311 - e110311
Fungal secondary metabolite biosynthesis genes are of major interest due to the pharmacological properties of their products (like mycotoxins and antibiotics).... 
UDP-GLUCOSYLTRANSFERASE | ASPERGILLUS-NIDULANS | AUROFUSARIN | MULTIDISCIPLINARY SCIENCES | DEOXYNIVALENOL | POLYKETIDE SYNTHASE GENES | TRANSCRIPTION FACTOR | EXPRESSION | TRICHOTHECENE BIOSYNTHESIS | AFFYMETRIX-GENECHIP | PLANT-PATHOGENIC FUNGUS | Enzymes | Biological products | Metabolites | Genes | Genomics | Plant genetics | Physiological aspects | Genomes | Gene expression | Cytochrome | Cluster analysis | Transcription factors | Peptides | Laboratories | Virulence | Biosynthesis | Biology | Proteins | Fungi | Fusarium | Life sciences | Bioinformatics | Natural resources | Analytical chemistry | Fusarium graminearum | Gene clusters | Gene transfer | Environmental health | Pharmacology | Metabolism | Antibiotics | Mycotoxins | Genetic engineering | Binding sites | Index Medicus
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12. Full Text The MIPS mammalian protein-protein interaction database
by Pagel, Philipp and Kovac, Stefan and Oesterheld, Matthias and Brauner, Barbara and Dunger-Kaltenbach, Irmtraud and Frishman, Goar and Montrone, Corinna and Mark, Pekka and Stümpflen, Volker and Mewes, Hans-Werner and Ruepp, Andreas and Frishman, Dmitrij
Bioinformatics, ISSN 1367-4803, 03/2005, Volume 21, Issue 6, pp. 832 - 834
The MIPS mammalian protein-protein interaction database (MPPI) is a new resource of high-quality experimental protein interaction data in mammals. The content... 
NETWORK | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | BIOCHEMICAL RESEARCH METHODS | STATISTICS & PROBABILITY | SACCHAROMYCES-CEREVISIAE | MAP |