PsN环境配置与安装

Perl-speaks-NONMEM (PsN) is a collection of Perl modules and programs aiding in the development of non-linear mixed effect models using NONMEM. The functionality ranges from solutions to simpler tasks such as parameter estimate extraction from output files, data file sub setting and resampling, to advanced computer-intensive statistical methods. PsN includes stand-alone tools for the end-user as well as development libraries for method developers.安装步骤：安装系统环境依赖：sudo apt update sudo apt install -y

Bioinformatics · 12 天前

A general view of Python-based scRNA-seq data analysis

Standard procedure of analyzing scRNA dataPre-processing (10x; cellranger)Collect data from 10x. Then use cellranger, a commercial software for data pre-processing, to get cell count matrix.Quality control (filter; doublets)After getting count matrix, quality control (QC) is needed to be implemented first. The purpose of QC has two sides. Firstly, we have to remove data of low quality, which may reflect the results of analysis. Then, we can examine the distribution of the collected data. In the

Bioinformatics·Science research · 2023-08-24

Single-cell RNA-sequencing

BackgroundDeep sequencing of DNA and RNA from a single cell is of great importance in the investigation of cellular functions. Generally, typical next-generation sequencing experiments often contain the following steps: isolation of single-cell, nucleic acid extraction and amplification, sequencing library preparation, sequencing, and bioinformatic data analysis. However, it is obviously more challenging to perform single-cell sequencing than sequencing from cells in bulk. As the development of

Bioinformatics·Science research · 2023-08-22