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Britney Y. Lau

Researcher at Sandia National Laboratories

Publications -  10
Citations -  1227

Britney Y. Lau is an academic researcher from Sandia National Laboratories. The author has contributed to research in topics: Bacterial genome size & Lysogenic cycle. The author has an hindex of 5, co-authored 9 publications receiving 776 citations.

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IslandViewer 4: expanded prediction of genomic islands for larger-scale datasets.

TL;DR: The release of IslandViewer 4 is reported, with novel features to accommodate the needs of larger-scale microbial genomics analysis, while expanding GI predictions and improving its flexible visualization interface.
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RNAcentral: a comprehensive database of non-coding RNA sequences.

TL;DR: A new species-specific identifiers that refer to unique RNA sequences within a context of single species are created in RNAcentral, a database of non-coding RNA (ncRNA) sequences that aggregates data from specialised ncRNAs resources and provides a single entry point for accessing ncRNA sequences of all nc RNA types from all organisms.
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Islander: a database of precisely mapped genomic islands in tRNA and tmRNA genes

TL;DR: The algorithm identifies tDNAs, finds fragments of those t DNAs in the same replicon and removes unlikely candidate islands through a series of filters, insisting that each island encode an integrase, and attachment site sequence identity is carefully noted; therefore, the database also serves in the study of integrase site-specificity and its evolution.
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Ends of the line for tmRNA-SmpB

TL;DR: It is validated recent identification of tmRNA homologs in oomycete mitochondria by finding partner genes from oomyCete nuclei that target SmpB to the mitochondrion and identifying a small number of complete, but often highly derived, bacterial genomes that appear to lack a functional copy of either the tm RNA or Smp B gene.
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New candidates for regulated gene integrity revealed through precise mapping of integrative genetic elements.

TL;DR: TIGER uses a comparative genomic, ping-pong BLAST approach, based on the principle that the IGE integration module (i.e. its int-attP region) is cohesive, to map IGEs with unprecedented precision and without attB site bias.