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Karla Lindquist - Scientific Lead, Data Science Initiative
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Karla Lindquist

Scientific Lead, Data Science Initiative
University of California System • University of California, San Francisco • San Francisco • United States of America

Skills and expertise

Fields of interest
  • WGS analysis
  • aCGH data analysis
  • Gene expression array analysis
Languages
  • English
Programming languages
  • Python
  • R
  • Shell (Bash)

Fields of interest

WGS analysis
Processes raw reads to count tables for RNA-seq data using Unique Molecular…
Determines the binary matrix of haplotypes and the proportions in the samples.…
Permits users to exploit constraints in signature identification. sigLASSO is a…
aCGH data analysis
Permits user to work on segmentation of genomic and epigenomic profiles. iSeg…
Combines several steps for a high-quality probe and primer design for a variety…
Analyzes next-generation sequencing (NGS) from experiments using unique…
Gene expression array analysis
Provides a quick navigation into any set of scores associated to the…
Supplies a protein homology search method alternative to BLAST. TOPAZ is a…
Cluster-select the optimal number of clusters and removes outlier objects.…