01091nam--2200325---450-99000584737020331620130523104700.0978-1-4214-0381-6000584737USA01000584737(ALEPH)000584737USA0100058473720130523d2012----km-y0itay50------baengGN||||||||001yy<<The>> new geopolitics of transatlantic relationscoordinated responses to common dangersStefan FröhlichWashingtonWoodrow Wilson Center pressBaltimoreThe Johns Hopkins University press2012XVI, 324 p.23 cmStati Uniti d'AmericaRelazioni internazionali [con l']EuropaBNCF327.7304FRÖHLICH,Stefan617062ITsalbcISBD990005847370203316327.730 FRO 177004 G.327.73000292331BKECOCHIARA9020130523USA011047New geopolitics of transatlantic relations1086851UNISA02348nam 2200409z- 450 991022005350332120210211(CKB)3800000000216243(oapen)https://directory.doabooks.org/handle/20.500.12854/54590(oapen)doab54590(EXLCZ)99380000000021624320202102d2016 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierNew Insights into Microbial Ecology through Subtle Nucleotide VariationFrontiers Media SA20161 online resource (133 p.)Frontiers Research Topics2-88919-988-6 The 16S ribosomal RNA gene commonly serves as a molecular marker for investigating microbial community composition and structure. Vast amounts of 16S rRNA amplicon data generated from environmental samples thanks to the recent advances in sequencing technologies allowed microbial ecologists to explore microbial community dynamics over temporal and spatial scales deeper than ever before. However, widely used methods for the analysis of bacterial communities generally ignore subtle nucleotide variations among high-throughput sequencing reads and often fail to resolve ecologically meaningful differences between closely related organisms in complex microbial datasets. Lack of proper partitioning of the sequencing data into relevant units often masks important ecological patterns. Our research topic contains articles that use oligotyping to demonstrate the importantance of high-resolution analyses of marker gene data, and providides further evidence why microbial ecologists should open the "black box" of OTUs identified through arbitrary sequence similarity thresholds.Microbiology (non-medical)bicssc16S rRNA genehigh-resolutionmicrobiomeMinimum Entropy DecompositionoligotypingMicrobiology (non-medical)A. Murat Erenauth1286185Mitchell SoginauthLois MaignienauthBOOK9910220053503321New Insights into Microbial Ecology through Subtle Nucleotide Variation3019751UNINA