Tracking the ngs revolution managing life science research on shared high performance computing clusters – Artofit

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Tracking the NGS revolution: managing life science research on shared high-performance computing clusters

AbstractBackground. Next-generation sequencing (NGS) has transformed the life sciences, and many research groups are newly dependent upon computer clusters
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Genome sequencing of the winged midge, Parochlus steinenii, from the Antarctic Peninsula

GigaScience Papers
A reference human genome dataset of the BGISEQ-500 sequencer

GigaScience Papers
Conventional and hyperspectral time-series imaging of maize lines widely used in field trials

GigaScience Papers
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Enhancing knowledge discovery from cancer genomics data with Galaxy

GigaScience Papers
GigaScience Papers
A 3-way hybrid approach to generate a new high-quality chimpanzee reference genome (Pan_tro_3.0)

GigaScience Papers
G-Anchor: a novel approach for whole-genome comparative mapping utilizing evolutionary conserved DNA sequences

GigaScience Papers
Independent assessment and improvement of wheat genome sequence assemblies using Fosill jumping libraries

GigaScience Papers
Leveraging multiple transcriptome assembly methods for improved gene structure annotation

GigaScience Papers
SL-quant: a fast and flexible pipeline to quantify spliced leader trans-splicing events from RNA-seq data

GigaScience Papers
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How can a high-quality genome assembly help plant breeders?

GigaScience Papers