Quantitative prediction of the effect of genetic variation using hidden Markov models
about
Computational approaches to study the effects of small genomic variations.The role of small in-frame insertions/deletions in inherited eye disorders and how structural modelling can help estimate their pathogenicity.Variation Interpretation Predictors: Principles, Types, Performance, and Choice.The pattern of DNA cleavage intensity around indelsThe road from next-generation sequencing to personalized medicine.HMMvar-func: a new method for predicting the functional outcome of genetic variants.Predicting the combined effect of multiple genetic variants
P2860
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P2860
Quantitative prediction of the effect of genetic variation using hidden Markov models
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
@zh
2014年论文
@zh-cn
name
Quantitative prediction of the effect of genetic variation using hidden Markov models
@en
type
label
Quantitative prediction of the effect of genetic variation using hidden Markov models
@en
prefLabel
Quantitative prediction of the effect of genetic variation using hidden Markov models
@en
P2093
P2860
P356
P1433
P1476
Quantitative prediction of the effect of genetic variation using hidden Markov models
@en
P2093
Layne T Watson
Liqing Zhang
Mingming Liu
P2860
P2888
P356
10.1186/1471-2105-15-5
P577
2014-01-09T00:00:00Z
P5875
P6179
1046648576