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Tanja Magoc

Researcher at Johns Hopkins University School of Medicine

Publications -  16
Citations -  11368

Tanja Magoc is an academic researcher from Johns Hopkins University School of Medicine. The author has contributed to research in topics: Computer science & Medicine. The author has an hindex of 7, co-authored 7 publications receiving 8056 citations. Previous affiliations of Tanja Magoc include Johns Hopkins University.

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FLASH: Fast Length Adjustment of Short Reads to Improve Genome Assemblies

TL;DR: FLASH is a fast computational tool to extend the length of short reads by overlapping paired-end reads from fragment libraries that are sufficiently short and when FLASH was used to extend reads prior to assembly, the resulting assemblies had substantially greater N50 lengths for both contigs and scaffolds.
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GAGE: A critical evaluation of genome assemblies and assembly algorithms

TL;DR: Evaluating several of the leading de novo assembly algorithms on four different short-read data sets generated by Illumina sequencers concludes that data quality, rather than the assembler itself, has a dramatic effect on the quality of an assembled genome.
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Genomic signatures of evolutionary transitions from solitary to group living

Karen M. Kapheim, +60 more
- 05 Jun 2015 - 
TL;DR: There is no single road map to eusociality; independent evolutionary transitions in sociality have independent genetic underpinnings and these transitions do have similar general features, including an increase in constrained protein evolution accompanied by increases in the potential for gene regulation and decreases in diversity and abundance of transposable elements.
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GAGE-B: an evaluation of genome assemblers for bacterial organisms

TL;DR: In this article, the authors evaluated the ability of multiple genome assembly programs to assemble bacterial genomes from a single, deep-coverage library and compared the assembly produced by this very high coverage, one-library strategy to the best assemblies created by two-library sequencing, and found that remarkably good bacterial assemblies are possible with just one library.
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EDGE-pro: Estimated Degree of Gene Expression in Prokaryotic Genomes.

TL;DR: EDGE-pro (Estimated Degree of Gene Expression in PROkaryotes) processes the raw data from an RNA-seq experiment on a bacterial or archaeal species and produces estimates of the expression levels for each gene in these gene-dense genomes.