NORMAL: accurate nucleosome positioning using a modified Gaussian mixture model.
about
PING 2.0: an R/Bioconductor package for nucleosome positioning using next-generation sequencing data.Improved nucleosome-positioning algorithm iNPS for accurate nucleosome positioning from sequencing data.DNA topoisomerase I affects polycomb group protein-mediated epigenetic regulation and plant development by altering nucleosome distribution in Arabidopsis.DNA-encoded nucleosome occupancy is associated with transcription levels in the human malaria parasite Plasmodium falciparum.Nucleosome regulatory dynamics in response to TGFβNucleosome positioning: resources and tools online.PuFFIN--a parameter-free method to build nucleosome maps from paired-end reads.Heterogeneous polymerase fidelity and mismatch repair bias genome variation and composition.NSeq: a multithreaded Java application for finding positioned nucleosomes from sequencing dataDetection of Pol IV/RDR2-dependent transcripts at the genomic scale in Arabidopsis reveals features and regulation of siRNA biogenesisPredicting nucleosome positioning based on geometrically transformed Tsallis entropy.NucTools: analysis of chromatin feature occupancy profiles from high-throughput sequencing dataA computational approach to map nucleosome positions and alternative chromatin states with base pair resolution.A wavelet-based method to exploit epigenomic language in the regulatory region.DChIPRep, an R/Bioconductor package for differential enrichment analysis in chromatin studies.Using informative Multinomial-Dirichlet prior in a t-mixture with reversible jump estimation of nucleosome positions for genome-wide profiling.Modeling nucleosome position distributions from experimental nucleosome positioning maps.
P2860
Q30650566-EB0EA9F9-1424-4028-B0B4-DB3B773BD38EQ30853426-2D1FFB34-0026-409E-83A1-0EEA07B17D41Q33358852-DED34443-339A-4709-8CAB-802DF4213AE4Q33669258-E514469D-C83F-47DF-B7D0-92327759E236Q33791123-71512CEC-6874-4B8C-A972-10F4C19B18FFQ34045010-37F1ED4B-8788-4054-AAD1-3C82A3F7F1CFQ34211315-FD20E23A-1683-43F9-AF5C-1E8CD4D456B8Q34439328-3ED9F72A-8293-4793-976D-F8AFFDE2F6C8Q34555617-20A6DFFD-5848-4327-B59A-B577A84997C1Q35042967-BD3E61C3-FC49-4044-8EC4-CF58A0A6FA09Q35403592-991AE1AE-DABD-442E-B65D-0ACA8C6E06ADQ36280311-C3DFA787-CB1E-4FB7-AFFE-2B2286EE51DDQ37392303-F4694AC9-A258-4242-B72B-22A1D56B0917Q37697474-3B9F59DB-74E1-4893-90AE-E51AA21FEEADQ39774335-3D9FE6C3-95E8-4692-A730-D1C41F45AF10Q40222516-FA4EF7A5-21B7-4C68-866C-F0B10A72BDD8Q47869903-D1FEB7C1-5D01-43E0-B662-2DCCB8F580BC
P2860
NORMAL: accurate nucleosome positioning using a modified Gaussian mixture model.
description
2012 nî lūn-bûn
@nan
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
2012年论文
@zh
2012年论文
@zh-cn
name
NORMAL: accurate nucleosome positioning using a modified Gaussian mixture model.
@ast
NORMAL: accurate nucleosome positioning using a modified Gaussian mixture model.
@en
type
label
NORMAL: accurate nucleosome positioning using a modified Gaussian mixture model.
@ast
NORMAL: accurate nucleosome positioning using a modified Gaussian mixture model.
@en
prefLabel
NORMAL: accurate nucleosome positioning using a modified Gaussian mixture model.
@ast
NORMAL: accurate nucleosome positioning using a modified Gaussian mixture model.
@en
P2093
P2860
P356
P1433
P1476
NORMAL: accurate nucleosome positioning using a modified Gaussian mixture model.
@en
P2093
Anton Polishko
Karine G Le Roch
Nadia Ponts
Stefano Lonardi
P2860
P304
P356
10.1093/BIOINFORMATICS/BTS206
P407
P577
2012-06-01T00:00:00Z