There are 316 articles for you to read.

Back-splice junctions

Author: gene_x

Abstract: > To Be or Not to Be: Circular RNAs or mRNAs From Circular DNAs? > https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2019.00940/full 回剪接结 (Back-splice junctions) 是环状RNA (circRNAs)

基因编辑技术的比较

Author: gene_x

Abstract: siRNA沉默: siRNA沉默是一种利用小干扰RNA(siRNA)来降低特定基因表达的方法。siRNA与目标mRNA序列特异性结合,导致mRNA被切割和降解,从而减少相应蛋白的产生。 - 这是一种“转录后沉默”方法,因为它在mRNA水平上阻止基因表达,而不改变DNA序列本身。 - siRNA沉默通常是临时的,只在siRNA存在时有效。 - CRISPR+guideRNA: CRI

Virulence Plasmid Absence in Y. enterocolitica 1Aa Subcluster

Author: gene_x

Abstract: [![ggtree_and_gheatmap_198](/static/Yersiniomics/ggtree_and_gheatmap_198.png "ggtree_and_gheatmap_198")](/static/Yersiniomics/ggtree_and_gheatmap_198.png "ggtree_and_gheatmap_198") >Pathogenicity of

Preparing a GTF file from GenBank for bacterial RNA-seq analysis, using the example of WA

Author: gene_x

Abstract: Preparing a GTF file from GenBank for bacterial RNA-seq analysis, using the example of WA 1. In the example Yersinia enterocolitica strain WA #[IMPORTANT FINAL STEPS] [STEP1] genbank

Differences Between Molecular and Genomic Biomarkers

Author: gene_x

Abstract: The terms "molecular biomarker" and "genomic biomarker" refer to specific types of biomarkers used in the field of biomedicine for diagnosis, prognosis, and monitoring the response to treatment, among

BCR (B-cell receptor) and TCR (T-cell receptor) sequencing

Author: gene_x

Abstract: BCR (B-cell receptor) sequencing and TCR (T-cell receptor) sequencing are molecular techniques used to analyze the genetic diversity of B-cell and T-cell receptors within an immune response. These rec

The structural proteome of eukaryotic viruses

Author: gene_x

Abstract: > Original text please find under https://www.biorxiv.org/content/10.1101/2024.01.22.576744v1.full 1. The structural proteome of eukaryotic viruses /ˈproʊ.ti.oʊm/ (Fig. 1 + Supplementary Fig. 1) [![

Preparing GTF file for nextflow rnaseq regarding S. epidermidis 1585

Author: gene_x

Abstract: 1. In the example RP62A #[IMPORTANT FINAL STEPS] [1] python3 gff_to_gtf.py RP62A.gff3 RP62A.gtf or python3 ~/Scripts/genbank_to_gtf.py 1585.gb 1585.gtf [2] python3 modify_gtf

RNA-seq data analysis (R-part) for S. epidermidis 1585

Author: gene_x

Abstract: 1. Data input and generate PCA plot # Import the required libraries library("AnnotationDbi") library("clusterProfiler") library("ReactomePA") library(gplots)

RNA-seq recalculate p-values on sT- and LT-transcripts

Author: gene_x

Abstract: 1. goal #p604 and p601 to sT transcript #p602 and p600 to LT transcript #p605 and p600 to LTtr transcript (or LT transcript is also fine) p602+604 compared to sT tran


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