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Scores are available for the mouse mm8 assembly.
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For example, illustrated in Figure 5a, ESPRIT correctly predicted that Ensembl genes ENSMUSG00000057751 and ENSMUSG00000029031 in Ensembl mouse v35 (m34 assembly) are merged into the gene ENSMUSG00000057751 (multiple EGF-like-domains 6 gene) in Ensembl mouse v48 (m37 assembly).
Reads were mapped to the mouse mm9 assembly using tophat (v1.4.0) using the transcripts from Ensembl release 67 to guide mapping.
To build databases of human and mouse 3′-UTR profiles, we began with the 'basic' set of protein-coding gene models deposited in Gencode v19 (human hg19 assembly) and Gencode vM3 (mouse mm10 assembly), respectively (Harrow et al., 2012).
Reads from ChIP-Seq data were aligned to mouse mm9 assembly using Bowtie alignment [ 93] by suppressing alignments to only 1 best reportable alignment with a maximum number of 2 mismatches within 28 nucleotides in the high quality sequencing end.
Positions are based on human GRCh37 and mouse NCBIM37 assemblies.
To determine that a co-opted gene was either present or absent in genomes other than human we used the chained alignments available at the UCSC Genome Brower (human hg18 and mouse mm9 assemblies) [ 39].
Sequence information was obtained from the University of California Santa Cruz (UCSC) Genome Bioinformatics site http://genome.ucsc.edu; in particular, the mouse mm7-assembly and the human hg18-assembly data were used.
The genomic coordinates of the predicted sites were then used to extract alignments that covered 400 nucleotides upstream or downstream of the miRNA match in the following species: mouse - mm8 assembly, rhesus monkey - rheMac2 assembly, dog - canFam2 assembly, cow - bosTau2 assembly and horse - equCab1 assembly.
The ChIP-chip data was obtained from a hybridized GATA1 ChIP sample to the NimbleGen HD2 tiling array for the mouse genome (mm8 assembly).
The ChIP-seq data was obtained from a different GATA1 biological sample sequenced by Illumina GAII technology, with 23 million 36 bp reads uniquely mapped to the mouse genome (mm8 assembly) (Cheng et al., 2009).
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