A minimal model of peptide binding predicts ensemble properties of serum antibodies.
about
A bioinformatic framework for immune repertoire diversity profiling enables detection of immunological statusQuantitative assessment of the robustness of next-generation sequencing of antibody variable gene repertoires from immunized miceIdentification of non-random sequence properties in groups of signature peptides obtained in random sequence peptide microarray experiments.Computational Strategies for Dissecting the High-Dimensional Complexity of Adaptive Immune Repertoires.
P2860
A minimal model of peptide binding predicts ensemble properties of serum antibodies.
description
2012 nî lūn-bûn
@nan
2012 թուականի Փետրուարին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի փետրվարին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
A minimal model of peptide binding predicts ensemble properties of serum antibodies.
@ast
A minimal model of peptide binding predicts ensemble properties of serum antibodies.
@en
A minimal model of peptide binding predicts ensemble properties of serum antibodies.
@nl
type
label
A minimal model of peptide binding predicts ensemble properties of serum antibodies.
@ast
A minimal model of peptide binding predicts ensemble properties of serum antibodies.
@en
A minimal model of peptide binding predicts ensemble properties of serum antibodies.
@nl
prefLabel
A minimal model of peptide binding predicts ensemble properties of serum antibodies.
@ast
A minimal model of peptide binding predicts ensemble properties of serum antibodies.
@en
A minimal model of peptide binding predicts ensemble properties of serum antibodies.
@nl
P2093
P2860
P356
P1433
P1476
A minimal model of peptide binding predicts ensemble properties of serum antibodies
@en
P2093
Atijeh Valai
Johannes Schuchhardt
Juliane Lück
Michal Or-Guil
Nicole Bruni
Sebastian Rausch
Susanne Hartmann
P2860
P356
10.1186/1471-2164-13-79
P407
P577
2012-02-21T00:00:00Z