Python and R pipeline to predict sgRNA efficiency in D.mel via machine learning algorithms trained and optimized on CRIPSR pooled gene essentiality screens
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Updated
Oct 15, 2018 - Python
Python and R pipeline to predict sgRNA efficiency in D.mel via machine learning algorithms trained and optimized on CRIPSR pooled gene essentiality screens
Clean and Process GWAS Results for the Drosophila Genetic Reference Panel
Packaged and versioned Analysis functions for Shahar's cells
Tracking, classification, and analysis tools for courtship in the fly.
Repository for RDN-WDP paper
A Bio2BEL package for the terminology from FlyBase (http://flybase.org/)
software for an optomotor experiment with fruit flies
Data package for Drosophila melanogaster RNA-seq
Data package containing transcriptomic profiles of IRBIT mutant fruit flies
Virtual Fly Brain is the only resource integrating Drosophila neurobiology images, data and knowledge all regions of the nervous system from larva to adult.
Virtual Fly Brain blog and documentation site
DGRPy is a python package for DGRP microbiome data analysis
Original data and analysis code for Carreira-Rosario et al. "Mechanosensory input during circuit formation shapes Drosophila motor behavior through Patterned Spontaneous Network Activity", Current Biology 2021.
Tutorial for RNA sequence data processing and simple downstream analysis with Drosophila melanogaster
Analysis of clock neurons in Hemibrain data
Implementation of the T4 model for motion detection from Zavatone-Veth et al., 2020
Scripts and data for "Natural selection has driven the recurrent loss of an immunity gene that protects Drosophila against a major natural parasite"
RNA-seq pipeline to identify wasp-induced gene expression in Drosophila
Custom codes for Flysta3D paper.
Drosophila larval hemocyte single cell RNA-seq analysis pipeline
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