-
1
-
-
84883364264
-
Count-based differential expression analysis of RNA sequencing data using R and Bioconductor
-
Anders, S. et al. (2013) Count-based differential expression analysis of RNA sequencing data using R and Bioconductor. Nat. Protoc., 8, 1765-1786.
-
(2013)
Nat. Protoc.
, vol.8
, pp. 1765-1786
-
-
Anders, S.1
-
2
-
-
84928987900
-
HTSeqa Python framework to work with high-throughput sequencing data
-
Anders, S. et al. (2015) HTSeqa Python framework to work with high-throughput sequencing data. Bioinformatics, 31, 166-169.
-
(2015)
Bioinformatics
, vol.31
, pp. 166-169
-
-
Anders, S.1
-
3
-
-
84891753483
-
The Reactome pathway knowledgebase
-
Croft, D. et al. (2014) The Reactome pathway knowledgebase. Nucleic Acids Res., 42, D472-D477.
-
(2014)
Nucleic Acids Res.
, vol.42
, pp. D472-D477
-
-
Croft, D.1
-
4
-
-
84946189382
-
Inferring single-cell gene expression mechanisms using stochastic simulation
-
Daigle, B.J. et al. (2015) Inferring single-cell gene expression mechanisms using stochastic simulation. Bioinformatics, btv007.
-
(2015)
Bioinformatics, btv007
-
-
Daigle, B.J.1
-
5
-
-
84951574149
-
MAST: A flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data
-
Finak, G. et al. (2015) MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data. Genome Biol., 16, 278.
-
(2015)
Genome Biol.
, vol.16
, pp. 278
-
-
Finak, G.1
-
7
-
-
84903574951
-
Bayesian approach to single-cell differential expression analysis
-
Kharchenko, P.V. et al. (2014) Bayesian approach to single-cell differential expression analysis. Nat. Methods, 11, 740-742.
-
(2014)
Nat. Methods
, vol.11
, pp. 740-742
-
-
Kharchenko, P.V.1
-
8
-
-
84861872213
-
Distinct perturbation of the translatome by the antidiabetic drug metformin
-
Larsson, O. et al. (2012) Distinct perturbation of the translatome by the antidiabetic drug metformin. Proc. Natl. Acad. Sci. USA, 109, 8977-8982.
-
(2012)
Proc. Natl. Acad. Sci. USA
, vol.109
, pp. 8977-8982
-
-
Larsson, O.1
-
9
-
-
84896735766
-
Voom: Precision weights unlock linear model analysis tools for RNA-seq read counts
-
Law, C.W. et al. (2014) voom: precision weights unlock linear model analysis tools for RNA-seq read counts. Genome Biol., 15, R29.
-
(2014)
Genome Biol.
, vol.15
, pp. R29
-
-
Law, C.W.1
-
10
-
-
84858041341
-
Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation
-
McCarthy, D.J. et al. (2012) Differential expression analysis of multifactor RNA-Seq experiments with respect to biological variation. Nucleic Acids Res., 40, 4288-4297.
-
(2012)
Nucleic Acids Res.
, vol.40
, pp. 4288-4297
-
-
McCarthy, D.J.1
-
11
-
-
84902587407
-
Peroxiredoxin proteins protect MCF-7 breast cancer cells from doxorubicin-induced toxicity
-
McDonald, C. et al. (2014) Peroxiredoxin proteins protect MCF-7 breast cancer cells from doxorubicin-induced toxicity. Int. J. Oncol., 45, 219-226.
-
(2014)
Int. J. Oncol.
, vol.45
, pp. 219-226
-
-
McDonald, C.1
-
12
-
-
84900328038
-
Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms
-
Patro, R. et al. (2014) Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms. Nat. Biotechnol., 32, 462-464.
-
(2014)
Nat. Biotechnol.
, vol.32
, pp. 462-464
-
-
Patro, R.1
-
14
-
-
21444454257
-
False discovery rate, sensitivity and sample size for microarray studies
-
Pawitan, Y. et al. (2005) False discovery rate, sensitivity and sample size for microarray studies. Bioinformatics, 21, 3017-3024.
-
(2005)
Bioinformatics
, vol.21
, pp. 3017-3024
-
-
Pawitan, Y.1
-
15
-
-
75249087100
-
EdgeR: A Bioconductor package for differential expression analysis of digital gene expression data
-
Robinson, M.D. et al. (2010) edgeR: a Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics, 26, 139-140.
-
(2010)
Bioinformatics
, vol.26
, pp. 139-140
-
-
Robinson, M.D.1
-
16
-
-
84881543294
-
Stochastic models of transcription: From single molecules to single cells
-
Sanchez, A. et al. (2013) Stochastic models of transcription: from single molecules to single cells. Methods, 62, 13-25.
-
(2013)
Methods
, vol.62
, pp. 13-25
-
-
Sanchez, A.1
-
17
-
-
56249130793
-
Analytical distributions for stochastic gene expression
-
Shahrezaei, V. and Swain, P.S. (2008) Analytical distributions for stochastic gene expression. Proc. Natl. Acad. Sci. USA, 105, 17256-17261.
-
(2008)
Proc. Natl. Acad. Sci. USA
, vol.105
, pp. 17256-17261
-
-
Shahrezaei, V.1
Swain, P.S.2
-
18
-
-
84878997106
-
Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
-
Shalek, A.K. et al. (2013) Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells. Nature, 498, 236-240.
-
(2013)
Nature
, vol.498
, pp. 236-240
-
-
Shalek, A.K.1
-
19
-
-
77952123055
-
Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation
-
Trapnell, C. et al. (2010) Transcript assembly and quantification by RNA-Seq reveals unannotated transcripts and isoform switching during cell differentiation. Nat. Biotechnol., 28, 511-515.
-
(2010)
Nat. Biotechnol.
, vol.28
, pp. 511-515
-
-
Trapnell, C.1
-
20
-
-
84934324840
-
Single-cell polyadenylation site mapping reveals 3 isoform choice variability
-
Velten, L. et al. (2015) Single-cell polyadenylation site mapping reveals 3 isoform choice variability. Mol. Syst. Biol., 11, 812.
-
(2015)
Mol. Syst. Biol.
, vol.11
, pp. 812
-
-
Velten, L.1
-
21
-
-
84882582801
-
Single-cell gene expression analysis reveals genetic associations masked in whole-tissue experiments
-
Wills, Q.F. et al. (2013) Single-cell gene expression analysis reveals genetic associations masked in whole-tissue experiments. Nat. Biotechnol., 31, 748-752.
-
(2013)
Nat. Biotechnol.
, vol.31
, pp. 748-752
-
-
Wills, Q.F.1
-
22
-
-
84893910301
-
Quantitative assessment of single-cell RNA-sequencing methods
-
Wu, A.R. et al. (2014) Quantitative assessment of single-cell RNA-sequencing methods. Nat. Methods, 11, 41-46.
-
(2014)
Nat. Methods
, vol.11
, pp. 41-46
-
-
Wu, A.R.1
|