Kiko Garcia

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The Impact and Innovation of Single-Cell RNA Sequencing | #single-Cell RNA Sequencing

The Impact and Innovation of Single-Cell RNA Sequencing

The Impact and Innovation of Single-Cell RNA Sequencing

Single-cell RNA sequencing (scRNA-seq) represents a groundbreaking advancement in genomic techniques, allowing researchers to detect and quantify messenger RNA (mRNA) molecules at the single-cell level.

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Exploring the Landscape of MicroRNA Targeting through Degradome Sequencing | #degradome Sequencing

Exploring the Landscape of MicroRNA Targeting through Degradome Sequencing

Exploring the Landscape of MicroRNA Targeting through Degradome Sequencing

Degradome sequencing, also known as parallel analysis of RNA ends (PARE) sequencing, is a cutting-edge technique that leverages high-throughput sequencing and bioinformatics to investigate the degradation products of mRNA.

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Navigating Microbial Diversity: Choosing Between 16S rRNA and Metagenome Sequencing for Your Research | #16s rRNA Sequencing

Navigating Microbial Diversity: Choosing Between 16S rRNA and Metagenome Sequencing for Your Research

Navigating Microbial Diversity: Choosing Between 16S rRNA and Metagenome Sequencing for Your Research

The 16S ribosomal RNA (rRNA) sequencing technique focuses on a specific segment within the small subunit of prokaryotic ribosomes, typically ranging from 1,300 to 1,600 base pairs in length.

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Best Practices for Bioinformatics Analysis of 16S rRNA Sequencing via NGS | #metagenomics Profiling

Best Practices for Bioinformatics Analysis of 16S rRNA Sequencing via NGS

Best Practices for Bioinformatics Analysis of 16S rRNA Sequencing via NGS

This technique allows for a comprehensive understanding of microbial communities, providing insights into their composition and functional potential. This article outlines best practices for the bioinformatics analysis of 16S rRNA sequencing, emphasizing the critical stages of data preproc

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Decoding the Conversation in Host-Pathogen Dynamics | #dual RNA-seq

Decoding the Conversation in Host-Pathogen Dynamics

Decoding the Conversation in Host-Pathogen Dynamics

Traditional RNA sequencing (RNA-seq) has long been employed to investigate the gene expression profiles of microbial pathogens. However, recent advancements in RNA-seq technologies have introduced innovative methods that delve deeper into the post-transcriptional networks governed by small

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