BEESEM: estimation of binding energy models using HT-SELEX data.
about
Inherent limitations of probabilistic models for protein-DNA binding specificity.SelexGLM differentiates androgen and glucocorticoid receptor DNA-binding preference over an extended binding site.A unified approach for quantifying and interpreting DNA shape readout by transcription factors.Comparison of discriminative motif optimization using matrix and DNA shape-based models.Accurate and sensitive quantification of protein-DNA binding affinity.
P2860
BEESEM: estimation of binding energy models using HT-SELEX data.
description
2017 nî lūn-bûn
@nan
2017年の論文
@ja
2017年学术文章
@wuu
2017年学术文章
@zh-cn
2017年学术文章
@zh-hans
2017年学术文章
@zh-my
2017年学术文章
@zh-sg
2017年學術文章
@yue
2017年學術文章
@zh
2017年學術文章
@zh-hant
name
BEESEM: estimation of binding energy models using HT-SELEX data.
@ast
BEESEM: estimation of binding energy models using HT-SELEX data.
@en
type
label
BEESEM: estimation of binding energy models using HT-SELEX data.
@ast
BEESEM: estimation of binding energy models using HT-SELEX data.
@en
prefLabel
BEESEM: estimation of binding energy models using HT-SELEX data.
@ast
BEESEM: estimation of binding energy models using HT-SELEX data.
@en
P2860
P356
P1433
P1476
BEESEM: estimation of binding energy models using HT-SELEX data
@en
P2093
Gary D Stormo
S Joshua Swamidass
P2860
P304
P356
10.1093/BIOINFORMATICS/BTX191
P407
P577
2017-08-01T00:00:00Z