Application of 'next-generation' sequencing technologies to microbial genetics.
about
Whole genome amplification and de novo assembly of single bacterial cells.The past and future of tuberculosis researchSAHG, a comprehensive database of predicted structures of all human proteinsMolecular complexity of successive bacterial epidemics deconvoluted by comparative pathogenomicsRole of Escherichia coli in Biofuel ProductionRecent Developments in Using Advanced Sequencing Technologies for the Genomic Studies of Lignin and Cellulose Degrading MicroorganismsOpening the black box of Anaplasma phagocytophilum diversity: current situation and future perspectivesA new era in palaeomicrobiology: prospects for ancient dental calculus as a long-term record of the human oral microbiomeValidation of high throughput sequencing and microbial forensics applications.Seasonal variability in airborne biotic contaminants in swine confinement buildingsMicroRNA-like small RNAs prediction in the development of Antrodia cinnamomeaDe Novo Assembly of Human Herpes Virus Type 1 (HHV-1) Genome, Mining of Non-Canonical Structures and Detection of Novel Drug-Resistance Mutations Using Short- and Long-Read Next Generation Sequencing TechnologiesMicrobial experimental evolution as a novel research approach in the Vibrionaceae and squid-Vibrio symbiosisCharacterization of a biogas-producing microbial community by short-read next generation DNA sequencingRoutine use of microbial whole genome sequencing in diagnostic and public health microbiologyThe path to next generation biofuels: successes and challenges in the era of synthetic biologyCartography of methicillin-resistant S. aureus transcripts: detection, orientation and temporal expression during growth phase and stress conditionsAnalysis of the transcriptome in molecular epidemiology studiesPlatinum: a database of experimentally measured effects of mutations on structurally defined protein-ligand complexes.Amino Acids Hydrolyzed from Animal Carcasses Are a Good Additive for the Production of Bio-organic Fertilizer.Infectious disease, shifting climates, and opportunistic predators: cumulative factors potentially impacting wild salmon declinesQuantitative phenotyping via deep barcode sequencing.Genome sequence of the pattern forming Paenibacillus vortex bacterium reveals potential for thriving in complex environments.Mycobacterial phylogenomics: an enhanced method for gene turnover analysis reveals uneven levels of gene gain and loss among species and gene familiesINDIGO - INtegrated data warehouse of microbial genomes with examples from the red sea extremophiles.Elucidation of quantitative structural diversity of remarkable rearrangement regions, shufflons, in IncI2 plasmidsDe novo 454 sequencing of barcoded BAC pools for comprehensive gene survey and genome analysis in the complex genome of barleyEcoBrowser: a web-based tool for visualizing transcriptome data of Escherichia coli.A draft genome sequence and functional screen reveals the repertoire of type III secreted proteins of Pseudomonas syringae pathovar tabaci 11528Novel software package for cross-platform transcriptome analysis (CPTRA).Experimental evolution of a plant pathogen into a legume symbiontShort clones or long clones? A simulation study on the use of paired reads in metagenomics.BABAR: an R package to simplify the normalisation of common reference design microarray-based transcriptomic datasets.Finding sRNA generative locales from high-throughput sequencing data with NiBLS.Pyrosequencing-based comparative genome analysis of the nosocomial pathogen Enterococcus faecium and identification of a large transferable pathogenicity island.SOPRA: Scaffolding algorithm for paired reads via statistical optimization.Read length and repeat resolution: exploring prokaryote genomes using next-generation sequencing technologies.Malaria parasite mutants with altered erythrocyte permeability: a new drug resistance mechanism and important molecular tool.Deep mRNA sequencing reveals stage-specific transcriptome alterations during microsclerotia development in the smoke tree vascular wilt pathogen, Verticillium dahliaePan-genome sequence analysis using Panseq: an online tool for the rapid analysis of core and accessory genomic regions
P2860
Q21142771-20F6DE60-4DE2-455E-BA94-089D70B0527CQ21559415-12F60F36-228C-4C24-930F-2FF803C0F669Q24615461-D13DC72F-5919-4CFE-BE2D-6565D6C131B0Q24625740-F210E0D8-86E5-485C-8146-E48A6FE0F466Q26738634-39956442-9716-45D4-BE76-282BE027DDCFQ26765356-3EDCA327-51B0-4A72-B0A1-689AB5BA05DBQ26795733-A143C711-2F3A-419C-B579-F39C92737673Q26851665-219CB3F0-0F60-4B54-B181-C7CA2278D65AQ28391825-E3CF594F-AB14-45D3-9757-17965601BB8FQ28397663-40C1A58A-4677-4660-B8B2-AA7896D5E8C8Q28546041-C7F58135-1432-4B3E-86BF-8A1027DC0710Q28550298-CA866116-95EB-46A3-97A0-B0815DBE9ABDQ28650174-176B00DC-350E-4317-B31A-309FEBF96B6EQ28727221-98D59180-FB93-4DEB-85FE-C28F757DD33CQ28728617-E84C1AB6-A01A-410F-92B2-0427CF626C7FQ28748993-DCCF088B-E40F-4003-B783-B7CA247A54D6Q28752025-9D2D6D7E-9DF3-415C-BE08-BC441CACD9EDQ28817795-48B3275E-D1E3-46FC-8765-A8B6869A21A4Q30367904-A5B1886D-D593-4E19-9C1E-6E24FB688000Q30382031-43768700-89A6-48B8-903F-30D31A214478Q30423741-51C751A8-2205-4195-89D4-90D667171C54Q30482301-37E34DE1-6FC6-4C6B-8686-C886648C6DECQ30497776-EF564688-F5DD-41A8-9E94-DBC03813B14BQ30582508-99ACD08E-1174-4599-851B-215634E5EE6FQ30712360-98FCBE69-156D-4006-97E3-4C96A14FEE69Q30850486-86FC4861-0DF1-4618-AC1A-3A9839D751F8Q30906175-2E3770BC-4D7B-47E3-8ACB-5B68AC7AD795Q31033377-BBC02469-1663-4E92-94C7-AB1C2B4BDDC9Q33496332-535D8897-60AE-4423-92EF-9681D2EC9BB3Q33509206-6436C91F-4F3D-4DF6-A460-E8B26874BD62Q33525006-46123C24-DFA9-4D4D-BC71-0A935435A21BQ33528178-C6D6E669-7F54-4EBC-99EB-C948E9E4943CQ33529304-524132D6-8CF9-4606-AB6F-9BC51755620DQ33532279-B6A2BB98-2352-4689-958A-1C3082F3A5B0Q33557553-F1F9C979-E8AE-4D3A-8C73-078E952042EEQ33615353-A9F6ABF8-03EB-4309-BACF-BDECF0E2DE64Q33633992-283634BC-1811-49D0-BEB0-96300C927DD2Q33641507-9CF348E0-F904-4ED0-836C-61584211B8B4Q33669131-83757A9F-7BF2-4821-B7B0-5B187FC43DE3Q33693333-6F1B4A81-7BF5-453F-A1A9-A5A5280D21B6
P2860
Application of 'next-generation' sequencing technologies to microbial genetics.
description
article científic
@ca
article scientifique
@fr
articolo scientifico
@it
artigo científico
@pt
bilimsel makale
@tr
scientific article published on April 2009
@en
vedecký článok
@sk
vetenskaplig artikel
@sv
videnskabelig artikel
@da
vědecký článek
@cs
name
Application of 'next-generation' sequencing technologies to microbial genetics.
@en
Application of 'next-generation' sequencing technologies to microbial genetics.
@nl
type
label
Application of 'next-generation' sequencing technologies to microbial genetics.
@en
Application of 'next-generation' sequencing technologies to microbial genetics.
@nl
prefLabel
Application of 'next-generation' sequencing technologies to microbial genetics.
@en
Application of 'next-generation' sequencing technologies to microbial genetics.
@nl
P2860
P356
P1476
Application of 'next-generation' sequencing technologies to microbial genetics.
@en
P2093
Daniel MacLean
P2860
P2888
P304
P356
10.1038/NRMICRO2088
P407
P577
2009-04-01T00:00:00Z