Troyanskaya Laboratory

Troyanskaya Laboratory's repositories

selene

a framework for training sequence-level deep learning networks

Language:Jupyter NotebookBSD-3-Clause-Clear367 17 104

ExPecto

predicting expression effects of human genome variants ab initio from sequence

Language:Python116 8 31

sei-framework

code to run sei and obtain sei and sequence class predictions

Language:PythonNOASSERTION85 8 25

tapioca

a framework for predicting global protein-protein interaction networks from dynamic mass spec data

Language:PythonBSD-3-Clause-Clear1800

DeepArk

Modeling the genomic regulatory codes of fly, mouse, worm, and fish with deep learning

Language:PythonBSD-3-Clause-Clear15 7 2

sei-manuscript

Code for reproducing the Sei manuscript results

Language:Jupyter Notebook15 7 4

giant-api

RESTful API for Functional Genomics

Language:Python7 4 3

function

Python library for functional genomics

Language:PythonGPL-3.04 9 1

diseasequest-docker

Language:C++3 6 2

onboarding

Information for new Troyanskaya lab members

3 20 1

sleipnir

Language:C++NOASSERTION3 6 1

giant-api-biojs

BioJS connector for GIANT

Language:CSS200

find_scripts

Code for training ontology-based CRF model for tissue-developmental stage-specific gene prediction

Language:HTML100

flib

Language:PythonNOASSERTION100

HeartENN-models

Documentation and scripts to run HeartENN (Richter et al., 2020)

Language:PythonBSD-3-Clause1 50

dalliance

Interactive web-based genome browser.

Language:JavaScriptBSD-2-Clause000

find_website_network

shiny app for FIND network visualization

Language:R000

fntm-api

Template code and documentation for FNTM API

Language:Python000

ketl

konfigurable etl

MIT000

SPEEDI

Single-cell Pipeline for End to End Data Integration (SPEEDI)

Language:R05 6

yenta

Yet 'Nother Taskrunner

Language:PythonMIT000