MNE-BIDS: Organizing electrophysiological data into the BIDS format and facilitating their analysis [0.03%]
基于BIDS的电生理数据组织及其分析工具MNE-BIDS
Stefan Appelhoff,Matthew Sanderson,Teon L Brooks et al.
Stefan Appelhoff et al.
The development of the Brain Imaging Data Structure (BIDS; Gorgolewski et al., 2016) gave the neuroscientific community a standard to organize and share data. BIDS prescribes file naming conventions and a folder structure to store data in a...
Lee S Katz,Taylor Griswold,Shatavia S Morrison et al.
Lee S Katz et al.
GENRE (GPU Elastic-Net REgression): A CUDA-Accelerated Package for Massively Parallel Linear Regression with Elastic-Net Regularization [0.03%]
具有弹性网正则化的大型线性回归的CUDA加速软件包
Christopher Khan,Brett Byram
Christopher Khan
Adam Richie-Halford,Manjari Narayan,Noah Simon et al.
Adam Richie-Halford et al.
For high-dimensional supervised learning, it is often beneficial to use domain-specific knowledge to improve the performance of statistical learning models. When the problem contains covariates which form groups, researchers can include thi...
nf-gwas-pipeline: A Nextflow Genome-Wide Association Study Pipeline [0.03%]
NF-GWAS-Pipeline：一个Nextflow全基因组关联研究管线
Zeyuan Song,Anastasia Gurinovich,Anthony Federico et al.
Zeyuan Song et al.
A tool for conducting Genome-Wide Association Study (GWAS) in a systematic, automated and reproducible manner is overdue. We developed an automated GWAS pipeline by combining multiple analysis tools - including bcftools, vcftools, the R pac...
Opfi: A Python package for identifying gene clusters in large genomics and metagenomics data sets [0.03%]
Opfi：一个用于在大型基因组和元基因组数据集中识别基因簇的Python包
Alexis M Hill,James R Rybarski,Kuang Hu et al.
Alexis M Hill et al.
Gene clusters are sets of co-localized, often contiguous genes that together perform specific functions, many of which are relevant to biotechnology. There is a need for software tools that can extract candidate gene clusters from vast amou...
SneakerNet: A modular quality assurance and quality check workflow for primary genomic and metagenomic read data [0.03%]
SneakerNet：一种初级基因组和元基因组读数据的质量保证与质量检查工作流程
Taylor Griswold,Curtis Kapsak,Jessica C Chen et al.
Taylor Griswold et al.
Laboratories that run Whole Genome Sequencing (WGS) produce a tremendous amount of data, up to 10 gigabytes for some common instruments. There is a need to standardize the quality assurance and quality control process (QA/QC). Therefore we ...
Jeffrey W Hollister,Dorothy Q Kellogg,Qian Lei-Parent et al.
Jeffrey W Hollister et al.
The nsink package estimates cumulative nitrogen (N) removal along a specified flow path and is based on methodologies outlined in Kellogg et al. (2010). For a user-specified watershed (i.e., hydrologic unit code (HUC)), nsink downloads all ...
CLAIRE: Constrained Large Deformation Diffeomorphic Image Registration on Parallel Computing Architectures [0.03%]
CLAIRE：并行计算架构下的约束大形变微分同胚图像配准方法
Malte Brunn,Naveen Himthani,George Biros et al.
Malte Brunn et al.
CLAIRE (Mang & Biros, 2019) is a computational framework for Constrained LArge deformation diffeomorphic Image REgistration (Mang et al., 2019). It supports highly-optimized, parallel computational kernels for (multi-node) CPU (Gholami et a...
George G Vega Yon,Paul Marjoram
George G Vega Yon