about
Understanding gene regulatory mechanisms by integrating ChIP-seq and RNA-seq data: statistical solutions to biological problems.Data quality aware analysis of differential expression in RNA-seq with NOISeq R/Bioc packageSARTools: A DESeq2- and EdgeR-Based R Pipeline for Comprehensive Differential Analysis of RNA-Seq Data.A robust (re-)annotation approach to generate unbiased mapping references for RNA-seq-based analyses of differential expression across closely related species.Identification and Validation of HCC-specific Gene Transcriptional Signature for Tumor Antigen Discovery.Computational Analysis of Single Nucleotide Polymorphisms Associated with Altered Drug Responsiveness in Type 2 DiabetesCripto is essential to capture mouse epiblast stem cell and human embryonic stem cell pluripotency.Distinct Antigen Delivery Systems Induce Dendritic Cells' Divergent Transcriptional Response: New Insights from a Comparative and Reproducible Computational Analysis.Systematically evaluating interfaces for RNA-seq analysis from a life scientist perspective.The START App: a web-based RNAseq analysis and visualization resource.Advancements in RNASeqGUI towards a Reproducible Analysis of RNA-Seq Experiments.PIVOT: platform for interactive analysis and visualization of transcriptomics data.Glucose impairs tamoxifen responsiveness modulating connective tissue growth factor in breast cancer cells.Unique true predicted neoantigens (TPNAs) correlates with anti-tumor immune control in HCC patients
P2860
Q30866842-072F2A79-612A-47D9-8F35-2D96B2FCE614Q30981058-14CED6FF-6DF0-4504-B076-E45FCCE18FB3Q31106793-A0D83612-3F39-48A1-8826-4FB9A30C8115Q36028352-E9ECB5AF-A3E3-4857-9CC4-42EF9EF4631FQ37076019-430F7A30-9483-4771-AAA4-212B03B3316CQ37134345-B7D3E95E-ECFA-4993-9823-F2C8C1337D1CQ37260904-1630E254-D8F9-4E9D-B521-63BC0926A79CQ37729017-770E9E68-624A-4751-B700-E3F0AB330D1BQ38537092-03F734E5-B0E9-4898-BE74-8FA7BEF0660BQ38974035-B53D1A64-DEC4-4ED3-BBC4-A82A2D2799B6Q39920185-0FA44148-0268-4ACF-B28A-3E16C9DD815DQ47204760-FCCB76E4-6E81-4C73-B9F4-56B0C3AC9E8AQ47371109-E053248C-B6A4-4D80-A4B6-7320C623F6B4Q57810732-880E064E-A05A-4028-9FEF-BCF95323382B
P2860
description
2014 nî lūn-bûn
@nan
2014 թուականի Մայիսին հրատարակուած գիտական յօդուած
@hyw
2014 թվականի մայիսին հրատարակված գիտական հոդված
@hy
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
name
RNASeqGUI: a GUI for analysing RNA-Seq data.
@ast
RNASeqGUI: a GUI for analysing RNA-Seq data.
@en
type
label
RNASeqGUI: a GUI for analysing RNA-Seq data.
@ast
RNASeqGUI: a GUI for analysing RNA-Seq data.
@en
prefLabel
RNASeqGUI: a GUI for analysing RNA-Seq data.
@ast
RNASeqGUI: a GUI for analysing RNA-Seq data.
@en
P2860
P356
P1433
P1476
RNASeqGUI: a GUI for analysing RNA-Seq data.
@en
P2093
Francesco Russo
P2860
P304
P356
10.1093/BIOINFORMATICS/BTU308
P407
P577
2014-05-07T00:00:00Z