octopode
Comparative biochemist interested in foreign and "extreme" environments like the deep sea. Sometimes I write code to run instruments or analyze data.
@nasaastrobio, @harvard, @mbari-orgCambridge, MA
Pinned Repositories
bathtime
Python interfaces for the humble laboratory waterbath (or thermostatted circulator). Four models and counting!
c0operate
Quick scripts for estimating mean intrinsic curvature (bar-c0) from lipidomic data
continuous-converge
scripts for detecting convergent adaptation of continuous traits
cteno-lipids-2021
data repo for ctenophore lipids
homeocurvature-2024
Data, scripts, and figures for "Homeocurvature adaptation of phospholipids to pressure in deep-sea invertebrates"
humblebragg
lipid SAXS odds and ends
pyuga
Python client for SRS RGA with added UGA functionality
pyvectron
Serial data acquisition driver for the Granville-Phillips Convectron 375 vacuum gauge controller
spectackler
Drivers and software for making spectrophotometric measurements under pressure
tidychrom
A dead simple R toolkit for quantitative chromatography
octopode's Repositories
octopode/tidychrom
A dead simple R toolkit for quantitative chromatography
octopode/homeocurvature-2024
Data, scripts, and figures for "Homeocurvature adaptation of phospholipids to pressure in deep-sea invertebrates"
octopode/spectackler
Drivers and software for making spectrophotometric measurements under pressure
octopode/bathtime
Python interfaces for the humble laboratory waterbath (or thermostatted circulator). Four models and counting!
octopode/c0operate
Quick scripts for estimating mean intrinsic curvature (bar-c0) from lipidomic data
octopode/continuous-converge
scripts for detecting convergent adaptation of continuous traits
octopode/cteno-lipids-2021
data repo for ctenophore lipids
octopode/humblebragg
lipid SAXS odds and ends
octopode/pyuga
Python client for SRS RGA with added UGA functionality
octopode/pyvectron
Serial data acquisition driver for the Granville-Phillips Convectron 375 vacuum gauge controller
octopode/seelipids
Making patterns visible in complex lipidomic data