Name | Description |
---|---|
AnnoQR | R client wrap for AnnoQ API (https://github.com/blueOwl/AnnoQR) |
aphylo | Statistical inference of genetic functions in phylogenetic trees |
bayesnetworks | C++ program to fit Bayesian networks, illustrated with simulated data |
BinaryDosage | Converts VCF files to a binary format |
causnet | What the Package Does (One Line, Title Case) |
fdrci | Permutation-Based FDR Point and Confidence Interval Estimation |
fmcmc | A friendly MCMC framework |
GxEScanR | R version of GxEScan |
HiLDA | An R package for inferring the mutational exposures difference between groups |
hJAM | hJAM is a hierarchical model which unifies the framework of Mendelian Randomization and Transcriptome-wide association studies. |
iMutSig | A web application to identify the most similar mutational signature using shiny |
jsPhyloSVG | htmlwidgets for the jsPhyloSVG JavaScript library |
LUCIDus | Latent and Unknown Cluster Analysis using Integrated Data |
MergeBinaryDosage | R package for merging binary dosage files |
partition | A fast and flexible framework for agglomerative partitioning in R |
pfamscanr | An R client for EMBL-EBI’s PfamScan API |
polygons | Flexible functions for computing polygons coordinates in R |
rphyloxml | Read and write phyloXML files in R |
selectKSigs | Selection of K in finding the number of mutational signatures |
slurmR | slurmR: A Lightweight Wrapper for Slurm |
xrnet | R Package for Hierarchical Regularized Regression to Incorporate External Data |
xtune | An R package for Lasso and Ridge Regression with differential penalization based on prior knowledge |
annoq-database's Introduction
annoq-database's People
annoq-database's Issues
Update the WGSA annotations to v095
The current WGSA annotation in AnnoQ was built with v0.9. The latest release of WGSA is v0.95. Need to update the annotation data to the latest build of WGSA.
Simplify the function annotation in the database
Currently, the functional annotations, including PANTHER GO slim, full GO and pathways, take most of the disk space in the database. There are several reasons. First, GO ids and GO terms are in separate columns. Second, terms can be very long and they are highly repetitive in the database. Need to simply it to reduce the database size.
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