Direct 16S rRNA-seq from bacterial communities: a PCR-independent approach to simultaneously assess microbial diversity and functional activity potential of each taxon.
about
Microbial biodiversity of meadows under different modes of land use: catabolic and genetic fingerprinting.Modified RNA-seq method for microbial community and diversity analysis using rRNA in different types of environmental samples.Complementary methodologies to investigate human gut microbiota in host health, working towards integrative systems biology.Taxonomy of anaerobic digestion microbiome reveals biases associated with the applied high throughput sequencing strategies.Microbial Communities and Diversities in Mudflat Sediments Analyzed Using a Modified Metatranscriptomic Method.An Exploration into the Bacterial Community under Different Pasteurization Conditions during Substrate Preparation (Composting-Phase II) for Agaricus bisporus Cultivation.The Response of a 16S Ribosomal RNA Gene Fragment Amplified Community to Lead, Zinc, and Copper Pollution in a Shanghai Field Trial.Temperature Driven Changes in Benthic Bacterial Diversity Influences Biogeochemical Cycling in Coastal SedimentsGenetic and Functional Diversity of Bacterial Microbiome in Soils With Long Term Impacts of Petroleum Hydrocarbons
P2860
Q33875916-72F0CD08-481D-4CD6-ACEF-AF1D5809D750Q42706625-A4C23BC3-8251-45B2-8918-D52E5F38B8F0Q46311710-F8CD6C9F-597E-474A-BF6A-794351DE25DDQ48130454-131F14DC-AD86-4928-8D93-FAC8C8E8F665Q49460345-B18EF496-20C2-4C30-8233-6341510BB5D7Q51190878-BA88A74C-E362-4CFF-9629-87660857B7F1Q52353661-5C58FD09-912E-43B6-80D9-B0A8D871D4CCQ57167975-6B1FC925-9B41-4858-8F7F-B0FE834D6820Q58719391-B46B2EAE-C235-4E32-863B-BEB7A6120D5C
P2860
Direct 16S rRNA-seq from bacterial communities: a PCR-independent approach to simultaneously assess microbial diversity and functional activity potential of each taxon.
description
2016 nî lūn-bûn
@nan
2016年の論文
@ja
2016年学术文章
@wuu
2016年学术文章
@zh-cn
2016年学术文章
@zh-hans
2016年学术文章
@zh-my
2016年学术文章
@zh-sg
2016年學術文章
@yue
2016年學術文章
@zh
2016年學術文章
@zh-hant
name
Direct 16S rRNA-seq from bacte ...... ivity potential of each taxon.
@en
Direct 16S rRNA-seq from bacte ...... ivity potential of each taxon.
@nl
type
label
Direct 16S rRNA-seq from bacte ...... ivity potential of each taxon.
@en
Direct 16S rRNA-seq from bacte ...... ivity potential of each taxon.
@nl
prefLabel
Direct 16S rRNA-seq from bacte ...... ivity potential of each taxon.
@en
Direct 16S rRNA-seq from bacte ...... ivity potential of each taxon.
@nl
P2093
P2860
P50
P356
P1433
P1476
Direct 16S rRNA-seq from bacte ...... ivity potential of each taxon.
@en
P2093
Alessandro Vezzi
Andrea Squartini
Fabio Poletto
Fabio de Pascale
Maurizio Tiarca
Nicola Vitulo
Riccardo Rosselli
Riccardo Schiavon
P2860
P2888
P356
10.1038/SREP32165
P407
P577
2016-08-31T00:00:00Z
P6179
1030296193