网络高通量数据 网络释义 1. 高通量数据 高通量数据(high throughput data)包括,注意了,如果您认为自己在做系统生物学研究,但是目前还未使用上述任一种数据… blog.sciencenet.cn|基于3个网页 例句
In this chapter we are reviewing and discussing different methodologies of presenting and analyzing data that are derived from high-throughput analyses of complex, multivariate studies. With the ability of rapidly screening a complex matrix of components, solution compositions, as well as handling and ...
For high throughput data ingestion with high latency // Single Fluentd(xxx.xxx.xxx.xxx:24224)// - Initial chunk buffer size is 16MB// - Threshold chunk buffer size to flush is 64MB// Keep this value (BufferRetentionSize) between `Initial chunk buffer size` and `Max total buffer size`//...
UmetaFlow is a workflow built for automated, high-throughput untargeted mass spectrometry-based metabolomics data processing and analysis using OpenMS algorithms. It allows for fast, scalable, and reproducible analysis through a workflow manager, Snakemake, but also for prototyping or smaller-scale ...
OmicsARules is a tool for the analysis of multi-omics high-throughput data based on the use of association rules mining. OmicsARules supports to identify recurrent and associated patterns, and provides a new dimension for exploring single or multiple omics data across sequencing platforms or across...
高通量筛选（High-Throughput Screening，HTS）数据分析 高通量筛选（High-Throughput Screening，HTS）技术起源于20世纪80年代后期，最初是为了寻找先导化合物而对大量样品进行药理活性评价分析的技术手段。随着技术的发展，HTS开始实现自动化，利用计算机及其操作软件、自动化加样设备、温孵离心设备和堆栈等组成自动化操作...
our findings44indicate that a high-throughput, local Green’s function based hybridization can at least qualitatively capture physically-relevant trends in the localization of thef-states. Our analysis with the presentf-electron database using ≈350 Ce-based binary compounds shows that the maximum hy...
(or channel, interface) in a given time interval.High throughputmeans high link utilization. Maximizing throughput is crucial. Given thelink bandwidth, high throughput indicates high efficiency in transferring data. For instance, Bic is aimed to achieve higher throughput based on a more aggressive ...
High-throughput measurement technologies produce data sets that have the potential to elucidate the biological impact of disease, drug treatment, and environmental agents on humans. The scientific community faces an ongoing challenge in the analysis of these rich data sources to more accurately characteri...
We have presented a set of data structures and compression algorithms for high-throughput sequencing data. We have transformed the nucleotide sequences into location and mismatch information through a mapping procedure to a reference genome, then applied fixed codes to encode that location and mismatch...