In vivo mutation rates and the landscape of fitness costs of HIV-1.
about
Estimating time of HIV-1 infection from next-generation sequence diversity.On the effective depth of viral sequence data.High-Resolution Sequencing of Viral Populations During Early SIV Infection Reveals Evolutionary Strategies for Rapid Escape from Emerging Env-Specific Antibody Responses.Within-patient mutation frequencies reveal fitness costs of CpG dinucleotides and drastic amino acid changes in HIV.Evolution of HIV-1 within untreated individuals and at the population scale in UgandaEstimating the mutational fitness effects distribution during early HIV infection
P2860
In vivo mutation rates and the landscape of fitness costs of HIV-1.
description
2017 nî lūn-bûn
@nan
2017 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2017 թվականի հունվարին հրատարակված գիտական հոդված
@hy
2017年の論文
@ja
2017年論文
@yue
2017年論文
@zh-hant
2017年論文
@zh-hk
2017年論文
@zh-mo
2017年論文
@zh-tw
2017年论文
@wuu
name
In vivo mutation rates and the landscape of fitness costs of HIV-1.
@ast
In vivo mutation rates and the landscape of fitness costs of HIV-1.
@en
In vivo mutation rates and the landscape of fitness costs of HIV-1.
@nl
type
label
In vivo mutation rates and the landscape of fitness costs of HIV-1.
@ast
In vivo mutation rates and the landscape of fitness costs of HIV-1.
@en
In vivo mutation rates and the landscape of fitness costs of HIV-1.
@nl
prefLabel
In vivo mutation rates and the landscape of fitness costs of HIV-1.
@ast
In vivo mutation rates and the landscape of fitness costs of HIV-1.
@en
In vivo mutation rates and the landscape of fitness costs of HIV-1.
@nl
P2093
P2860
P356
P1433
P1476
In vivo mutation rates and the landscape of fitness costs of HIV-1.
@en
P2093
Fabio Zanini
Jan Albert
Johanna Brodin
P2860
P304
P356
10.1093/VE/VEX003
P577
2017-01-01T00:00:00Z