About Anaconda Help Download Anaconda

dnachun / packages

Package Name Access Summary Updated
sphinx-lv2-theme public A minimal static theme for Sphinx 2025-04-25
sphinxygen public A script to generate Sphinx ReST from Doxygen XML 2025-04-25
htseq public HTSeq is a Python library to facilitate processing and analysis of data from high-throughput sequencing (HTS) experiments. 2025-04-23
nvidia-dlfw-inspect public No Summary 2025-04-23
rsjsonnet public A Rust implementation of the Jsonnet language 2025-04-23
transformer-engine-pytorch public No Summary 2025-04-23
megatron-lm public Megatron Core - a library for efficient and scalable training of transformer based models 2025-04-22
nemo-toolkit public NeMo - a toolkit for Conversational AI 2025-04-22
pywfa public A python wrapper for wavefront alignment using WFA2-lib 2025-04-22
yabai public A tiling window manager for macOS based on binary space partitioning 2025-04-22
watershed-sv public Watershed-SV extends Watershed to model the impact of rare SVs 2025-04-17
r-mr.ash.alpha public Implements variational empirical Bayes methods for linear regression. Coordinate-wise optimization algorithms for model fitting are implemented in C++ for efficient handling of large-scale data sets. 2025-04-17
r-gmmat public Perform association tests using generalized linear mixed models (GLMMs) in genome-wide association studies (GWAS) and sequencing association studies. First, GMMAT fits a GLMM with covariate adjustment and random effects to account for population structure and familial or cryptic relatedness. For GWAS, GMMAT performs score tests for each genetic variant as proposed in Chen et al. (2016) <doi:10.1016/j.ajhg.2016.02.012>. For candidate gene studies, GMMAT can also perform Wald tests to get the effect size estimate for each genetic variant. For rare variant analysis from sequencing association studies, GMMAT performs the variant Set Mixed Model Association Tests (SMMAT) as proposed in Chen et al. (2019) <doi:10.1016/j.ajhg.2018.12.012>, including the burden test, the sequence kernel association test (SKAT), SKAT-O and an efficient hybrid test of the burden test and SKAT, based on user-defined variant sets. 2025-04-08
bioconductor-seqarray public Data Management of Large-Scale Whole-Genome Sequence Variant Calls 2025-04-08
bioconductor-gdsfmt public R Interface to CoreArray Genomic Data Structure (GDS) Files 2025-04-08
bioconductor-cytolib public C++ infrastructure for representing and interacting with the gated cytometry data 2025-04-08
quantas public Tools for inference of gene transcript structure and quantification of gene expression and alternate splicing 2025-04-08
r-fsusier public Draft package for "Sum of Single Functions" method. 2025-04-03
pegasusio public PegasusIO is the IO package for Pegasus. 2025-04-03
pegasuspy public An efficient Python analysis tool which scales to transcriptomes of millions of single cells. 2025-04-03
scikit-misc public Miscellaneous tools for scientific computing. 2025-03-25
pyfit-sne public Python wrapper for FFT-accelerated Interpolation-based t-SNE (FIt-SNE) package. 2025-03-25
r-plinkqc public Genotyping arrays enable the direct measurement of an individuals genotype at thousands of markers. 'plinkQC' facilitates genotype quality control for genetic association studies as described by Anderson and colleagues (2010) <doi:10.1038/nprot.2010.116>. It makes 'PLINK' basic statistics (e.g. missing genotyping rates per individual, allele frequencies per genetic marker) and relationship functions accessible from 'R' and generates a per-individual and per-marker quality control report. Individuals and markers that fail the quality control can subsequently be removed to generate a new, clean dataset. Removal of individuals based on relationship status is optimised to retain as many individuals as possible in the study. 2025-03-25
quantas_cu public Tools for inference of gene transcript structure and quantification of gene expression and alternate splicing 2025-03-25
onepassword-cli public CLI for 1Password password manager 2025-03-25

© 2025 Anaconda, Inc. All Rights Reserved. (v4.2.2) Legal | Privacy Policy