James Cuff

TL;DR: Two new sequence datasets are derived which are suitable for cross‐validation of secondary structure prediction methods without artifacts due to internal homology and application of the different published 8‐ to 3‐state reduction methods shows variation of over 3% on apparent prediction accuracy.

TL;DR: It is shown that the vast majority of nonconserved ORFs present by chance in RNA transcripts are random occurrences, and the results indicate that there has been relatively little true innovation in mammalian protein-coding genes.

TL;DR: The aims of Ensembl are to "widen" this biological integration to include other model organisms relevant to understanding human biology as they become available; to "deepen" this integration to provide an ever more seamless linkage between equivalent components in different species; and to provide further classification of functional elements in the genome that have been previously elusive.

TL;DR: The Ensembl database project provides a bioinformatics framework to organise biology around the sequences of large genomes, a comprehensive source of stable automatic annotation of human, mouse and other genome sequences, available as either an interactive web site or as flat files.

TL;DR: The quantitative and qualitative trade-offs concomitant with alignment method choice and the levels of technical error that need to be accounted for in applications that require multisequence alignments are described.