Possible Papers for BTRY 720, Topics in Computational Genomics

Comparative Analysis of Twelve Drosophila Genomes

Drosophila 12 Genomes Consortium et al. Evolution of genes and genomes on the Drosophila phylogeny. Nature (2007) vol. 450 (7167) pp. 203-218 [link]

Stark et al. Systematic discovery and characterization of fly microRNAs using 12 Drosophila genomes. Genome Res (2007) vol. 17 (12) pp. 1865-79 [link]

Stark et al. Discovery of functional elements in 12 Drosophila genomes using evolutionary signatures. Nature (2007) vol. 450 (7167) pp. 219-32 [link]

Stark et al. Reliable prediction of regulator targets using 12 Drosophila genomes. Genome Res (2007) pp. [link]

Phylogenetic Reconstruction and Modeling

Daskalakis et al. Optimal phylogenetic reconstruction. STOC'06 [link]

Daskalakis et al. Maximal Accurate Forests from Distance Matrices. RECOMB 2006. [link]

Huelsenbeck et al. A nonparametric method for accommodating and testing across-site rate variation. Syst Biol (2007) vol. 56 (6) pp. 975-87 [link]

Minin et al. Counting labeled transitions in continuous-time Markov models of evolution. Journal of mathematical biology (2008) vol. 56 (3) pp. 391-412 [link]

Rasmussen et al. Accurate gene-tree reconstruction by learning gene- and species-specific substitution rates across multiple complete genomes. Genome Res (2007) [link]

Rodrigue et al. Uniformization for sampling realizations of Markov processes: applications to Bayesian implementations of codon substitution models. Bioinformatics (2008) vol. 24 (1) pp. 56-62 [link]

Gene Finding with CRFs and CRF-like Models

Bernal et al. Global discriminative learning for higher-accuracy computational gene prediction. PLoS Comput Biol (2007) vol. 3 (3) pp. e54 [link]

DeCaprio et al. Conrad: gene prediction using conditional random fields. Genome Res (2007) vol. 17 (9) pp. 1389-98 [link]

Gross et al. CONTRAST: a discriminative, phylogeny-free approach to multiple informant de novo gene prediction. Genome Biol (2007) vol. 8 (12) pp. R269 [link]

Krogh et al. Hidden neural networks. Neural computation (1999) vol. 11 (2) pp. 541-63 [link]

Comparative Studies of Regulation, Splicing, Etc.

Bembom et al. Supervised detection of conserved motifs in DNA sequences with cosmo. Statistical applications in genetics and molecular biology (2007) vol. 6 [link]

Frith et al. A code for transcription initiation in mammalian genomes. Genome Res (2008) vol. 18 (1) pp. 1-12 [link]

Frith et al. Evolutionary turnover of mammalian transcription start sites. Genome Res (2006) vol. 16 (6) pp. 713-22 [link]

Garg et al. Differing patterns of selection in alternative and constitutive splice sites. Genome Res (2007) vol. 17 (7) pp. 1015-22 [link]

Ke et al. Positive selection acting on splicing motifs reflects compensatory evolution. Genome Res (2008) [link]

Raijman et al. Evolution and Selection in Yeast Promoters: Analyzing the Combined Effect of Diverse Transcription Factor Binding Sites. PLoS Comput Biol (2008) vol. 4 (1) pp. e7 [link]

Schwartz et al. Large-scale comparative analysis of splicing signals and their corresponding splicing factors in eukaryotes. Genome Res (2008) vol. 18 (1) pp. 88-103 [link]

Xiao et al. Coevolutionary networks of splicing cis-regulatory elements. Proc Natl Acad Sci USA (2007) vol. 104 (47) pp. 18583-8 [link]

Other

Jiang et al. Ancestral reconstruction of segmental duplications reveals punctuated cores of human genome evolution. Nat Genet (2007) vol. 39 (11) pp. 1361-8 [link]

Luedi et al. Computational and experimental identification of novel human imprinted genes. Genome Res (2007) vol. 17 (12) pp. 1723-30 [link]

Tang et al. Reconstructing genetic ancestry blocks in admixed individuals. Am J Hum Genet (2006) vol. 79 (1) pp. 1-12 [link]