scholarly article | Q13442814 |
P356 | DOI | 10.12688/F1000RESEARCH.13049.1 |
10.12688/F1000RESEARCH.13049.2 | ||
P932 | PMC publication ID | 6039931 |
P698 | PubMed publication ID | 30026912 |
P50 | author | Travis L Jensen | Q88072927 |
Johannes B Goll | Q90353186 | ||
Heather Hill | Q109939935 | ||
P2093 | author name string | Kevin Conway | |
Konstantinos Krampis | |||
Leigh Villarroel | |||
Michael Frasketi | |||
P2860 | cites work | Galaxy: a comprehensive approach for supporting accessible, reproducible, and transparent computational research in the life sciences | Q21092859 |
Transcript length bias in RNA-seq data confounds systems biology | Q21093194 | ||
Differential expression analysis for sequence count data | Q21184103 | ||
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Mapping and quantifying mammalian transcriptomes by RNA-Seq | Q22122035 | ||
KEGG: kyoto encyclopedia of genes and genomes | Q24515297 | ||
From RNA-seq reads to differential expression results | Q24612983 | ||
The sequence read archive | Q24616329 | ||
A scaling normalization method for differential expression analysis of RNA-seq data | Q24628783 | ||
Differential gene and transcript expression analysis of RNA-seq experiments with TopHat and Cufflinks | Q24633890 | ||
TopHat: discovering splice junctions with RNA-Seq | Q24655505 | ||
edgeR: a Bioconductor package for differential expression analysis of digital gene expression data | Q27860819 | ||
The Sequence Alignment/Map format and SAMtools | Q27860966 | ||
Ensembl 2013 | Q28280494 | ||
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2 | Q29547403 | ||
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome | Q29547458 | ||
Count-based differential expression analysis of RNA sequencing data using R and Bioconductor | Q29577114 | ||
HTSeq--a Python framework to work with high-throughput sequencing data | Q29614489 | ||
STAR: ultrafast universal RNA-seq aligner | Q29615052 | ||
Systems biology approach predicts immunogenicity of the yellow fever vaccine in humans | Q29616204 | ||
RNA sequencing: advances, challenges and opportunities | Q29619605 | ||
Cell-Based Systems Biology Analysis of Human AS03-Adjuvanted H5N1 Avian Influenza Vaccine Responses: A Phase I Randomized Controlled Trial | Q30397652 | ||
Pvclust: an R package for assessing the uncertainty in hierarchical clustering. | Q51630850 | ||
High-Resolution Temporal Response Patterns to Influenza Vaccine Reveal a Distinct Human Plasma Cell Gene Signature | Q30541968 | ||
Length bias correction for RNA-seq data in gene set analyses | Q33798902 | ||
Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms | Q33829375 | ||
Gene ontology analysis for RNA-seq: accounting for selection bias | Q33861598 | ||
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featureCounts: an efficient general purpose program for assigning sequence reads to genomic features | Q34384848 | ||
Early patterns of gene expression correlate with the humoral immune response to influenza vaccination in humans | Q34743359 | ||
Molecular signatures database (MSigDB) 3.0. | Q35019708 | ||
Interferon-induced Ifit proteins: their role in viral pathogenesis | Q35076741 | ||
Systems biology of vaccination for seasonal influenza in humans | Q35118722 | ||
The real cost of sequencing: higher than you think! | Q35632563 | ||
Interferon-stimulated genes and their antiviral effector functions | Q35742006 | ||
Intervene: a tool for intersection and visualization of multiple gene or genomic region sets | Q36388794 | ||
Molecular signatures of antibody responses derived from a systems biology study of five human vaccines | Q37625332 | ||
Adjuvanted influenza-H1N1 vaccination reveals lymphoid signatures of age-dependent early responses and of clinical adverse events. | Q40846982 | ||
Streaming fragment assignment for real-time analysis of sequencing experiments | Q41849422 | ||
P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
P6216 | copyright status | copyrighted | Q50423863 |
P4510 | describes a project that uses | DESeq2 | Q113018293 |
edgeR | Q113334690 | ||
P407 | language of work or name | English | Q1860 |
P921 | main subject | open-source software | Q1130645 |
reproducibility | Q1425625 | ||
RNA sequencing | Q2542347 | ||
data processing | Q6661985 | ||
RNA-Seq | Q68168612 | ||
RNA analysis | Q95588220 | ||
P304 | page(s) | 2162 | |
P577 | publication date | 2017-12-21 | |
P1433 | published in | F1000Research | Q27701587 |
P1476 | title | RSEQREP: RNA-Seq Reports, an open-source cloud-enabled framework for reproducible RNA-Seq data processing, analysis, and result reporting | |
P478 | volume | 6 |
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