Search Results for "mini pc linux"
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Showing 4 open source projects for "mini pc linux"
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MiModD
Mutation Identification in Model Organism Genomes using Desktop PCs
MiModD is a software package for genomic variant identification from next-generation sequencing (NGS) data with optimized usage of system resources and a user-friendly interface. For most model organism genomes it lets the user carry out a complete analysis from unaligned genomic NGS read data to an annotated list of variants on a regular Desktop PC within a few hours. Its user-interface is beginner-friendly and designed to encourage geneticists to analyze NGS data themselves without the... -
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DrawGlycan-SNFG
Renders glycans and glycopeptides with frag. info using SNFG format
...Program source code is also provided.. The web and GUI apps do not require any additional software to run. To install the GUI version, simply download and run the installer for PC or Mac. To install in Linux, follow in-package instructions or visit the VirtualGlycome.org FAQ page. The source code can be edited and run using MATLAB2014b or later. How to Cite: DrawGlycan-SNFG: a robust tool to render glycans and glycopeptides with fragmentation information Kai Cheng; Yusen Zhou; Sriram Neelamegham Glycobiology (2017) 27 (3): 200-205 Source code also available at: https://github.com/neel-lab/DrawGlycan-SNFGv2 Abstract & Full Text: https://doi.org/10.1093/glycob/cww115 -
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metasort
A metagenome assembler by reducing microbial community
Most current approaches analyze metagenomic data with the participation of reference genomes. However, novel microbial communities extend far beyond the coverage of reference databases and de novo metagenome assembly from complex microbial communities still remains a great challenge. Here we present a novel experimental and bioinformatic framework, metaSort, for effective construction of bacterial genomes from metagenomic samples. MetaSort provides a sorted mini-metagenome approach based on... -
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SeqGenome Browser, a mini cross-platform local genome browser, was designed for visualizing next-generation sequencing data. It is light, fast and easy to use.
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