There are 409 articles for you to read.

Setup the environment for lumicks-pylake and C_Trap-Multimer-photontrack.ipynb

Author: gene_x

Abstract: > https://lumicks-pylake.readthedocs.io/en/v0.8.2/install.html#updating > https://github.com/JamesLiWan/MultimerizationCode/blob/main/C_Trap-Multimer-photontrack.ipynb 1. Fix which pylake we should

Stihl Elektro-Heckenschneider

Author: gene_x

Abstract: Produktinformation 14 Bewertungen Vor-und Nachteile Hohe Leistung Leise elektrische Heckenschere Schneidleistung durch beidseitig geschärfte Klinge Verlängerungskabel erforderlich Lieferumfang

🧬 Cadmium Resistance Gene Analysis in Staphylococcus epidermidis HD46

Author: gene_x

Abstract: ## 🎯 Objective To determine whether the genome of *S. epidermidis* HD46 contains known genes associated with natural cadmium resistance. --- ## ✅ Step 1: Prepare the Genome File - Confirm that the

MCV病毒中的LT与sT蛋白功能

Author: gene_x

Abstract: [![MCV truncated Large T antigen](/static/images/MCV_truncatedLT.png "MCV truncated Large T antigen")](/static/images/MCV_truncatedLT.png "MCV truncated Large T antigen") --- ## 🧬 一、MCV LT蛋白(Large T

Analysis of the RNA binding protein (RBP) motifs for RNA-Seq and miRNAs (v3, simplied)

Author: gene_x

Abstract: 1. Download RBP motifs (PWM) from ATtRACT_DB: ATtRACT_db.txt and pwm.txt; Convert to MEME format (if needed) (Under ~/DATA/Data_Ute/RBP_enrichments/) # Both generate_named_meme.py and generat

Somatic Variation Detection

Author: gene_x

Abstract: # 🔬 癌症驱动基因与突变分析流程总览 ## 一、常见癌症的驱动基因(Driver Genes) | 癌症类型 | 常见驱动基因 | 说明 | |----------------|-----------------------------------

Phyloseq.Rmd processing Data_Karoline_16S_2025

Author: gene_x

Abstract: author: "" date: '`r format(Sys.time(), "%d %m %Y")`' header-includes: - \usepackage{color, fancyvrb} output: rmdformats::readthedown: highlight: kate number_

MicrobiotaProcess_PCA_Group3-4.R processing Data_Karoline_16S_2025

Author: gene_x

Abstract: # https://bioconductor.org/packages/release/bioc/vignettes/MicrobiotaProcess/inst/doc//MicrobiotaProcess.html # ----------------------------------- # ---- prepare the R environment ----

Processing RNAseq_2025_WT_vs_ΔIJ_on_ATCC19606

Author: gene_x

Abstract: 0. Vorgabe #perform PCA analysis, Venn diagram analysis, as well as KEGG and GO annotations. We would also appreciate it if you could include CPM calculations for this dataset (gene_cpm_count

Processing Data_Tam_RNAseq_2024_MHB_vs_Urine_ATCC19606

Author: gene_x

Abstract: 1. Preparing raw data They are wildtype strains grown in different medium. Urine - human urine AUM - artificial urine medium MHB - Mueller-Hinton broth Urine(人


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