Archana Raja

Computational Biologist

Mountain View, California, United States
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Summary

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Archana Raja is a computational biologist with 11 years of experience applying genomics, gene prediction, and next-generation sequencing analysis to translational research. Based at Stanford School of Medicine, she designs and validates pipelines (including Snakemake) for CNV analysis, assembly validation of PacBio genomes, and visualization via genome browsers, bridging wet-lab goals and informatics implementation. Her toolkit spans Python, R/Bioconductor, Java, and practical QA/testing practices from earlier GenoViz/IGB work, enabling reproducible analyses and clear communication with biologists. Past roles at HHMI, Northwestern, and NC State highlight strengths in miRNA/mRNA-seq workflows, hybrid assembly strategies, and annotation of complex genomic features like segmental duplications. She combines hands-on pipeline engineering with an eye for visualization and user-facing tools, making large sequencing datasets actionable for investigators. Notably, her background includes both software QA for genome browsers and experimental primer design for draft genomes, reflecting a rare mix of software rigor and wet-lab awareness.
code10 years of coding experience
job2 years of employment as a software developer
bookMS, Bioinformatics, MS, Bioinformatics at University of North Carolina at Charlotte
bookB.Tech, Bioinformatics, B.Tech, Bioinformatics at Shanmugha Arts, Science, Technology and Research Academy
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Stackoverflow

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Github Skills (42)

seq10
genome9
sequencing9
rna-seq9
python-bindings9
genomics8
genetic8
bioinformatics8
encode7
science6
pipeline6
genetics6
application5
wdl5
fasta5

Programming languages (8)

ShellRCScalaPerlTclWDLPython

Github contributions (5)

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Pipeline for analysis of RRBS data, currently being based of MSSM pipeline
Contributions:2 PRs, 5 pushes, 2 branches in 1 year 10 months
archanaraja/Useful-Code

Jun 2015 - Jun 2015

Contributions:1 push in 1 day
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Archana Raja - Computational Biologist