Deplancke's Lab

Lausanne, Switzerland

Pinned Repositories

Areg
Processing of single-cell (Fluidigm C1 and 10x) and population (Truseq and brbseq) RNA-seq data related to Areg discovery and characterisation in mouse subcutaneous stromal vascular fraction cells
Language:HTML3 1 11
ASAP
ASAP : Automated Single-cell Analysis Pipeline
Language:Java23 6 1110
BRB-seqTools
Suite of tools for processing BRB-seq data
Language:Java25 5 910
Chromatin_modules
Chromatin Modules across cell types.The code
Language:Jupyter Notebook3 1 00
ChromatinHD
High-definition modeling of chromatin + transcriptomics data
Language:Python16 2 60
ChromatinHD_manuscript
Language:Python1 1 00
DisCo_source
Language:C++1 1 01
Live-seq
Live-seq
Language:R7 2 85
SmartSeq2
1 1 00
SSPCI
Somatic stem and progenitor cell identification based on single-cell RNA-sequencing data
Language:R3 1 00

Deplancke's Lab's Repositories

DeplanckeLab/BRB-seqTools
Suite of tools for processing BRB-seq data
Language:Java25 5 910
DeplanckeLab/ASAP
ASAP : Automated Single-cell Analysis Pipeline
Language:Java23 6 1110
DeplanckeLab/ChromatinHD
High-definition modeling of chromatin + transcriptomics data
Language:Python16 2 60
DeplanckeLab/Live-seq
Live-seq
Language:R7 2 85
DeplanckeLab/Areg
Processing of single-cell (Fluidigm C1 and 10x) and population (Truseq and brbseq) RNA-seq data related to Areg discovery and characterisation in mouse subcutaneous stromal vascular fraction cells
Language:HTML3 1 11
DeplanckeLab/Chromatin_modules
Chromatin Modules across cell types.The code
Language:Jupyter Notebook3 1 00
DeplanckeLab/SSPCI
Somatic stem and progenitor cell identification based on single-cell RNA-sequencing data
Language:R3 1 00
DeplanckeLab/ASAP_web
ASAP web application
Language:JavaScript1 1 00
DeplanckeLab/BeversLitovchenko2018
Source code to support the paper: "Extensive mitochondrial population structure and haplotype-specific variation in metabolic phenotypes in the Drosophila Genetic Reference Panel"
Language:R1 3 00
DeplanckeLab/ChromatinHD_manuscript
Language:Python1 1 00
DeplanckeLab/DisCo_source
Language:C++1 1 01
DeplanckeLab/Frochaux_BouSleiman_2020
Language:R1 2 00
DeplanckeLab/SIB-ASAP-2023
Using ASAP for Single-Cell Analysis - 2023 Course
1 1 00
DeplanckeLab/SmartSeq2
1 1 00
DeplanckeLab/Meireles-Filho_Litovchenko2019
Source code to support the paper: “Extensive tissue-specific expression variation and novel regulators underlying circadian behavior”
Language:R0 4 00
DeplanckeLab/TF-seq
Material and source code for TF-seq manuscript
Language:HTML0 2 10
DeplanckeLab/asap2_web
Language:Ruby1 0
DeplanckeLab/BIO373_GeneticsAndGenomics
Biofinformatics support for the Genetics and Genomics class (BIO373)
Language:HTML2 0
DeplanckeLab/BiSS
Yeast one-hybrid screening for DNA-protein interactions
Language:PHP1 0
DeplanckeLab/BRB-seq
Code and scripts for reproducing figures of BRB-seq paper
Language:R1 0
DeplanckeLab/Context-TFs
Material and source code for Kribelbauer et al.
Language:Jupyter Notebook2 0
DeplanckeLab/dgrpool
Scripts used for the DGRPool ELife manuscript
Language:R2 0
DeplanckeLab/dgrpool_web
DGRPool is a web application designed to serve as a comprehensive repository for Drosophila Genetic Reference Panel (DGRP) phenotyping datasets.
Language:Ruby1 32
DeplanckeLab/ENHPATHY4
ENHPATHY Event IV - Hands-on session on analyzing single-cell data
Language:HTML1 01
DeplanckeLab/FastReadCounter
Tool for fast counting of reads from BAM file into genomic ranges (GTF, BED, VCF)
Language:Java2 2
DeplanckeLab/Numts_Aaeg
Language:HTML1 0
DeplanckeLab/projects
a list of all projects
1 0
DeplanckeLab/scfair
an initiative to standardize single-cell genomics data and promote findable, accessible, interoperable, and reusable single-cell data.
Language:JavaScript0 0
DeplanckeLab/TFseqTools
A suite of tools for the pre-processing of TF-seq data
Language:Java1 0
DeplanckeLab/updeplasrv1
Scripts for updeplasrv1 Web server (Dockerized)
Language:CSS