KeelyDulmage's Stars
tidyomics/plyranges
A grammar of genomic data transformation
sihaohuanguc/Nanopore_psU
nodesource/distributions
NodeSource Node.js Binary Distributions
kcleal/dysgu
Toolkit for calling structural variants using short or long reads
liumz93/PEM-Q
a pipeline to process data of PEM-seq or data similar, which is more comprehensive than superQ
hhoeflin/hdf5r
adnaniazi/tailfindr
An R package for estimating poly(A)-tail lengths in Oxford Nanopore RNA and DNA reads.
wdecoster/nanopack
An overview of all nanopack tools
pinellolab/CRISPRitz
Tool package to perform in-silico CRISPR analysis and assessment
dewshr/GEG-SH
STAR-Fusion/STAR-Fusion
STAR-Fusion codebase
SorenKarst/longread_umi
wdecoster/nanostat
Create statistic summary of an Oxford Nanopore read dataset
nanoporetech/bonito
A PyTorch Basecaller for Oxford Nanopore Reads
Illumina/ExpansionHunter
A tool for estimating repeat sizes
google-deepmind/alphafold
Open source code for AlphaFold.
nanoporetech/rerio
Research release basecalling models and configurations
nanoporetech/megalodon
Megalodon is a research command line tool to extract high accuracy modified base and sequence variant calls from raw nanopore reads by anchoring the information rich basecalling neural network output to a reference genome/transriptome.
ChaissonLab/LRA
Long read aligner
SR-Martin/alvis
dpryan79/SE-MEI
Tools for finding mobile element insertions from single-end datasets
Adrian-Cantu/AAVengeR
jthomasmock/penguin-project
galanisl/loh_scripts
Scripts for the analysis of low-pass WGS, deep targeted sequencing and transcriptome data from control and OCT4 CRISPR-Cas9-targeted early human embryos
rstudio/DT
R Interface to the jQuery Plug-in DataTables
taiyunkim/scClustBench
Impacts of similarity metrics on scRNA-seq
bioinfomaticsCSU/deepsignal
Detecting methylation using signal-level features from Nanopore sequencing reads
swsoyee/r3dmol
š§¬ An R package for visualizing molecular data in 3D
satijalab/seurat
R toolkit for single cell genomics
nanoporetech/pipeline-umi-amplicon
Workflow to prepare high accuracy single molecule consensus sequences from amplicon data using unique molecular identifiers