Illuminate
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Application data |
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| Created by | Naomi Most |
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| Biological application domain(s) | Genomics |
| Principal bioinformatics method(s) | Sequencing quality control |
| Technology | Illumina, Illumina HiSeq |
| Created at | InVitae |
| Maintained? | Yes |
| Input format(s) | .bin and .xml files from rundata directory |
| Output format(s) | python data structures, some textual output |
| Software features | object-oriented access to results of binary parsing, some command line support |
| Programming language(s) | Python |
| Software libraries | Numpy, Pandas |
| Licence | MIT |
| Operating system(s) | Unix-like |
Summary: Analytics toolkit in Python for Illumina HiSeq and MiSeq metrics
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Illuminate parses the metrics binaries that result from Illumina sequencer runs, and provides usable data in the form of python dictionaries and dataframes. Intended to emulate the output of Illumina SAV, illuminate allows you to print sequencing run metrics to the command line as well as work with the data programmatically.
For the latest up-to-date README and status of Illuminate, along with how-tos and sample data, go to one of the following links.
Links
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