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Name: eLife Sciences

Type: Organization

Bio: eLife is a 'not for profit' inspired by research funders and led by scientists, to help accelerate discovery by operating a platform for research communication

Location: Cambridge, UK

Blog: https://elifesciences.org/

eLife Sciences's Projects

knossos_utils icon knossos_utils

Python library for interacting with KNOSSOS data sets and annotation files

ktan icon ktan

Acquisition software for the Intan Evaluation Board

kvasir icon kvasir

Searching for Horizontal Gene Transfer

kymo icon kymo

matlab script to trace fluorescent particles in kymograph

kymoreslicewide icon kymoreslicewide

ImageJ plugin making kymographs of maximum or average intensity with wide lines, polylines, curves

lapsansky_zatz_tobalske_elife_2020 icon lapsansky_zatz_tobalske_elife_2020

IN REVIEW: A repository for the data used in the paper Lapsansky et al. (2020) "Alcids ‘fly’ at efficient Strouhal numbers in both air and water but vary stroke velocity and angle"

larva_development_structure_2017 icon larva_development_structure_2017

Analysis and data files for "Conserved neural circuit structure across Drosophila larval development revealed by comparative connectomics", Gerhard et al. 2017

learn icon learn

Machine learning and feature extraction for the Rephetio project

lhlibrary icon lhlibrary

A R Shiny app for sharing and viewing lateral horn data

lhns icon lhns

A repository for neuron data related to the fly lateral horn

library-access icon library-access

Collecting data on whether library access to scholarly literature

linearity icon linearity

Photostimulation and electrophysiology analysis and simulation code used for paper: "Precise balance controls gain and timing at the hippocampus"

lineprofileanalysisworkflow icon lineprofileanalysisworkflow

The included Jupyter Notebooks were specifically designed to find and analyze local maxima in line profiles from STED and Confocal images.

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