Author: gene_x

Abstract: AlphaFold2 is a protein structure prediction model developed by DeepMind. To run AlphaFold2, you'll need to follow these steps: 1. Clone the AlphaFold repository: git clone https://github.com/deep

Author: gene_x

Abstract: 1. type III secretion system translocon subunit YopB：YopB (Yersinia outer protein B) 是Yersinia属细菌的一种效应蛋白，与YopD共同参与形成跨膜通道，使其他Yop效应蛋白能够穿过宿主细胞膜进入宿主细胞。 2. type III secretion system translocon subunit Yop

Author: gene_x

Abstract: 1. Create an account: First, create a GEO account at https://www.ncbi.nlm.nih.gov/geo/submission/. If you already have an NCBI account, you can use the same credentials to log in. 2. Upload data file

Author: gene_x

Abstract: MCPyV（梅克尔细胞多瘤病毒，Merkel cell polyomavirus）和TSPyV（纺锤状毛发发育不良相关多瘤病毒，Trichodysplasia spinulosa-associated polyomavirus）都是多瘤病毒科（Polyomaviridae）家族的成员，这是一类可以感染各种脊椎动物的小型双链DNA病毒。尽管它们都属于同一家族，但它们与不同类型的疾病相关。 MCPy

Author: gene_x

Abstract: A timeline of the history of microarray and next-generation sequencing technologies: * Microarray Technology: - 1990s: The first microarrays were developed, which used small glass slides or nylon m

Author: gene_x

Abstract: 1. RNA-seq：RNA测序，一种高通量测序技术，用于研究转录组，了解基因的表达水平和结构。 2. miRNA-seq：miRNA测序，针对小分子microRNA（miRNA）的高通量测序技术，用于研究miRNA在调控基因表达中的作用。 3. ncRNA-seq：非编码RNA测序，研究非编码RNA（ncRNA）的高通量测序技术，这些RNA不编码蛋白质但在基因调控和细胞功能中发挥重要作用。 4.

Author: gene_x

Abstract: Prostate cancer prevalence varies among countries, with some regions having higher rates than others. According to the International Agency for Research on Cancer (IARC) and the World Cancer Research

Author: gene_x

Abstract: Genetic variations occur in the form of single nucleotide polymorphisms (SNPs), insertions and deletions (indels), and other structural variations in the DNA. Some of these genetic variations are more

Author: gene_x

Abstract: [](/static/images/TFEB-wt24.png "TFEB-wt24") The input file can be downloaded [here](/static/xls/WT.xlsx "here")! The code for creating the bub

Author: gene_x

Abstract: Here is a concise summary of the key steps and tools for ChIP-seq and RNA-seq data analysis and integration: 1. Quality control: FastQC for assessing raw sequencing data quality. 2. Trimming and fil