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NATURE METHODS, ISSN 1548-7091, 10/2013, Volume 10, Issue 10, pp. 996 - 996
Amplified marker-gene sequences can be used to understand microbial community structure, but they suffer from a high level of sequencing and amplification... 
DATABASE | DIVERSITY | BIOCHEMICAL RESEARCH METHODS | Metagenomics | Algorithms | Microbiota - genetics | Humans | Sensitivity and Specificity | Databases, Genetic | RNA, Ribosomal, 16S - genetics | Software | Phylogeny | Research Design | Gene amplification | Nucleotide sequencing | Research | Methods | DNA sequencing | Gene expression | Genetic markers | Genomics
Journal Article
Bioinformatics, ISSN 1367-4803, 08/2010, Volume 26, Issue 19, pp. 2460 - 2461
Motivation: Biological sequence data is accumulating rapidly, motivating the development of improved high-throughput methods for sequence classification.... 
FAMILIES DATABASE | PROTEIN | ALIGNMENT | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | BIOCHEMICAL RESEARCH METHODS | MATHEMATICAL & COMPUTATIONAL BIOLOGY | TIME | Sequence Alignment - methods | Sequence Analysis, Protein - methods | Computational Biology - methods | Algorithms | Databases, Protein | Proteins - chemistry | Cluster Analysis
Journal Article
Bioinformatics, ISSN 1367-4803, 07/2018, Volume 34, Issue 14, pp. 2371 - 2375
Abstract Motivation The 16S ribosomal RNA (rRNA) gene is widely used to survey microbial communities. Sequences are often clustered into Operational Taxonomic... 
SEQUENCE-ANALYSIS | HUMAN MICROBIOME | BIOCHEMICAL RESEARCH METHODS | CLASSIFICATION | BACTERIOLOGY | TAXONOMY | ARCHAEA | DATABASE | BIOTECHNOLOGY & APPLIED MICROBIOLOGY | GREENGENES | DISEASE | MATHEMATICAL & COMPUTATIONAL BIOLOGY | READS | Algorithms | Microbiota - genetics | RNA, Ribosomal, 16S - genetics | Genes, rRNA | Software | Sequence Analysis, DNA - methods | Cluster Analysis
Journal Article
by Shungin, Dmitry and Winkler, Thomas W and Croteau-Chonka, Damien C and Ferreira, Teresa and Locke, Adam E and Mägi, Reedik and Strawbridge, Rona J and Pers, Tune H and Fischer, Krista and Justice, Anne E and Workalemahu, Tsegaselassie and Wu, Joseph M. W and Buchkovich, Martin L and Heard-Costa, Nancy L and Roman, Tamara S and ng, Alexander W and Song, Ci and Gustafsson, Stefan and Day, Felix R and Esko, Tonu and Fall, Tove and Kutalik, Zoltán and Luan, Jian'an and Randall, Joshua C and Scherag, Ané and Vedantam, Sailaja and Wood, Anew R and Chen, Jin and Fehrmann, Rudolf and Karjalainen, Juha and Kahali, Bratati and Liu, Ching-Ti and Schmidt, Ellen M and Absher, Devin and Amin, Najaf and Anderson, Denise and Beekman, Marian and Bragg-Gresham, Jennifer L and Buyske, Steven and Demirkan, Ayse and Ehret, Georg B and Feitosa, Mary F and Goel, Anuj and Jackson, Anne U and Johnson, Toby and Kleber, Marcus E and Kristiansson, Kati and Mangino, Massimo and Mateo Leach, Irene and Medina-Gomez, Carolina and Palmer, Cameron D and Pasko, Dorota and Pechlivanis, Sonali and Peters, Marjolein J and Prokopenko, Inga and Stančáková, Alena and Ju Sung, Yun and Tanaka, Toshiko and Teumer, Alexander and van Vliet-Ostaptchouk, Jana V and Yengo, Loïc and Zhang, Weihua and Albrecht, Eva and Ärnlöv, Johan and Arscott, Gillian M and Bandinelli, Stefania and Barrett, Amy and Bellis, Claire and Bennett, Amanda J and Berne, Christian and Blüher, Matthias and Böhringer, Stefan and Bonnet, Fabrice and Böttcher, Yvonne and Bruinenberg, Marcel and Carba, Delia B and Caspersen, Ida H and Clarke, Robert and Daw, E. Warwick and Deelen, Joris and Deelman, Ewa and Delgado, Graciela and Doney, Alex S. F and Eklund, Niina and Erdos, Michael R and Estrada, Karol and Eury, Elodie and Frieich, Nele and Garcia, Melissa E and Gieaitis, Vilmantas and Gigante, Bruna and Go, Alan S and Golay, Alain and Grallert, Harald and Grammer, Tanja B and Gräßler, Jürgen and Grewal, Jagvir and Groves, Christopher J and Haller, Toomas and Hallmans, Goran and ... and PAGE Consortium and LifeLines Cohort Study and CARDIOGRAMplusC4D Consortium and MuTHER Consortium and ICBP and ADIPOGEN Consortium and CKDGen Consortium and GEFOS Consortium and Int Endogene Consortium and GENIE Consortium and MAGIC Investigators and ReproGen Consortium and GLGC and ADIPOGen Consortium and International Endogene Consortium and The PAGE Consortium and The International Endogene Consortium and The MAGIC Investigators and The ReproGen Consortium and The CKDGen Consortium and The ADIPOGen Consortium and The ICBP and The CARDIOGRAMplusC4D Consortium and The GENIE Consortium and The GLGC and The GEFOS Consortium and The MuTHER Consortium and The LifeLines Cohort Study and Högskolan Dalarna and Akademin Utbildning, hälsa och samhälle and Medicinsk vetenskap
Nature, ISSN 0028-0836, 2015, Volume 518, Issue 7538, pp. 187 - U378
Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our... 
HUMAN HEIGHT | ABDOMINAL ADIPOSITY | MULTIDISCIPLINARY SCIENCES | COMMON SNPS | SUSCEPTIBILITY LOCI | GLYCEMIC TRAITS | FALSE DISCOVERY | MESENCHYMAL STEM-CELLS | GENOME-WIDE ASSOCIATION | ADIPOGENIC DIFFERENTIATION | SEXUAL-DIMORPHISM | Body Mass Index | Genome-Wide Association Study | Age Factors | Neovascularization, Physiologic - genetics | Epigenesis, Genetic | Humans | Male | Continental Population Groups - genetics | Sex Characteristics | Obesity - genetics | Europe - ethnology | Genome, Human - genetics | Adipose Tissue - metabolism | Insulin - metabolism | Models, Biological | Adipocytes - metabolism | Insulin Resistance - genetics | Polymorphism, Single Nucleotide - genetics | Female | Body Fat Distribution | Transcription, Genetic - genetics | Adipogenesis - genetics | Waist-Hip Ratio | Quantitative Trait Loci - genetics | Adipose tissues | Quantitative trait loci | Genetic research | Genetic aspects | Research | Metabolism | Health aspects | Studies | Body mass index | Genealogy | Body fat | Insulin resistance | Genetics | Genomes | Abdomen | Meta-analysis | Life Sciences | Adipocytes/metabolism Adipogenesis/genetics Adipose Tissue/metabolism Age Factors Body Fat Distribution Body Mass Index Continental Population Groups/genetics Epigenesis, Genetic Europe/ethnology Female Genome, Human/genetics Genome-Wide Association Study Humans Insulin/metabolism Insulin Resistance/genetics Male Models, Biological Neovascularization, Physiologic/genetics Obesity/genetics Polymorphism, Single Nucleotide/genetics Quantitative Trait Loci/genetics Sex Characteristics Transcription, Genetic/genetics Waist-Hip Ratio | Clinical Medicine | Hälsa och välfärd | Medical and Health Sciences | Klinisk medicin | Medicin och hälsovetenskap | Health and Welfare
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