Works cited¶
[Ashburner00] | M. Ashburner et al. Gene ontology: tool for the unification of biology, Nature Genetics, 25, 25-29 (2000) |
[Camacho09] | C. Camacho, G. Coulouris, V. Avagyan, N Ma, J Papadopoulos, K Bealer, & T. L. Madden. BLAST+: architecture and applications, BMC bioinformatics, 10, 421 (2009) |
[Cock09] | P. J. Cock et al. Biopython: freely available Python tools for computational molecular biology and bioinformatics, Bioinformatics, 25, 1422-3 (2009) |
[Efron07] | B Efron & R Tibshirani. On testing the significance of sets of genes, Annals of Applied Statistics, 1, 107-129 (2007) |
[Grabherr11] | M.G Grabherr et al. Full-length transcriptome assembly from RNA-Seq data without a reference genome, Nature biotechnology, 29, 644-52 (2011) |
[Ng01] | A. Y. Ng, M. I. Jordan & Y. Weiss. On Spectral Clustering: Analysis and an algorithm, Advances in Neural Information Processing Systems 14, MIT Press, 849-856 (2001) |
[Patro14] | R. Patro, S. M. Mount, & C Kingsford. Sailfish enables alignment-free isoform quantification from RNA-seq reads using lightweight algorithms, Nature biotechnology, 32, 462-4 (2014) |
[Subramian05] | A. Subramian et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles, PNAS 102(43), 15545–50 (2005) |
[Love14] | M. I. Love, W. Huber, & S. Anders. Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2, Genome biology, 15, 550 (2014) |
[UniProtConsortium14] | U. Consortium, Activities at the Universal Protein Resource (UniProt), Nucleic acids research, 42, D191-8 (2014) |
[Zelnik-Manor04] | L. Zelnik-Manor & P. Perona, Self-tuning spectral clustering, Advances in Neural Information Processing Systems 17, MIT Press, 1601-1608 (2004) |