HiPipe
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Application data |
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| Created by | Adam Yao, et al. |
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| Biological application domain(s) | Genomics |
| Principal bioinformatics method(s) | Read mapping, Variant calling, Workflows |
| Technology | Sanger, Illumina, 454, ABI SOLiD, Ion Torrent |
| Created at | Academia Sinica, Taiwan, ROC |
| Maintained? | Yes |
| Input format(s) | Fastq.gz |
| Output format(s) | VCF BAM |
| Programming language(s) | JavaScript, Java, Bash |
| Interface type(s) | Web UI |
| Resource type(s) | Web application |
| Operating system(s) | platform-independent |
Summary: HiPipe is to make NGS data analysis quick and easy with high performance pipelines and intuitive web GUI.
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Description
HiPipe (http://hipipe.ncgm.sinica.edu.tw/) project is trying to make NGS bioinformatics analysis quick and easy on web so that a researcher can perform fundamental NGS data analysis without bioinformatics or IT staff support. In fact, it should only take about 10 minutes for a new user to know how to use HiPipe. Not only it is easy to use but also it runs very fast. Powered by many computing cores behind, HiPipe can finish a human exome (100x) in 2 hours or less. Therefore,we expect that HiPipe can greatly reduce turnaround time in NGS analysis and help facilitating genomic research.Analysis on miRNA and transcriptome should be released by the end of 2013.
Links
References
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