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Magne Osteras

Researcher at DuPont

Publications -  20
Citations -  2546

Magne Osteras is an academic researcher from DuPont. The author has contributed to research in topics: Shotgun sequencing & Gene. The author has an hindex of 15, co-authored 20 publications receiving 2335 citations. Previous affiliations of Magne Osteras include Scripps Research Institute.

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De novo bacterial genome sequencing: Millions of very short reads assembled on a desktop computer

TL;DR: This study proposes a de novo assembler software that generates a set of accurate contigs of several kilobases that cover most of the bacterial genome on the Illumina sequencing platform that produces millions of very short sequences that are 35 bases in length.
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Metagenomic study of the oral microbiota by Illumina high-throughput sequencing

TL;DR: The V5 hypervariable region of the 16S ribosomal RNA (rRNA) gene is identified as a short region providing reliable identification of bacterial sequences available in public databases such as the Human Oral Microbiome Database, and several taxa not yet discovered in these types of samples are identified.
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Chromatin immunoprecipitation (ChIP) of plant transcription factors followed by sequencing (ChIP-SEQ) or hybridization to whole genome arrays (ChIP-CHIP)

TL;DR: The ChIP procedure is optimized for high signal-to-noise ratio starting with tissue fixation, followed by nuclei isolation, immunoprecipitation, DNA amplification and purification, and the complete protocol for ChIP-SEQ/ChIP-CHIP sample preparation takes ∼7 d.
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Spliced leader trapping reveals widespread alternative splicing patterns in the highly dynamic transcriptome of Trypanosoma brucei

TL;DR: This work analyzed the expression profiles and splicing patterns of bloodstream and insect forms of the parasite Trypanosoma brucei and discovered more than 2500 alternative splicing events, many of which appear to be stage-regulated.
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By-passing in vitro screening—next generation sequencing technologies applied to antibody display and in silico candidate selection

TL;DR: By combining NGS with display technologies, laborious and time consuming upfront screening can be by-passed or complemented and valuable insights into the selection process can be obtained to improve library design and understanding of antibody repertoires.