NGS

In the rapidly evolving field of genomics, next-generation sequencing (NGS) has revolutionized the way we study and understand genetic information. With the advent of NGS technologies, vast amounts of data are generated, requiring sophisticated computational tools to analyze and interpret the data effectively. In this comprehensive guide, we will explore a wide range of computational

Dive into the intricate realm of single-cell RNA sequencing (scRNA-Seq) for profound insights into cellular processes. This blog delves into the basics, methodology, and applications of scRNA-Seq, enriched by recent research findings. Refining Data: Preprocessing and Noise Control Start with tools like Cutadapt and Trimmomatic to eliminate adapter sequences and enhance data quality. SinQC identifies

Next-Gen Sequencing (NGS) is a powerful technique that can reveal the secrets of the genome, transcriptome, epigenome, and metagenome of any organism. NGS has many applications in biomedical research, clinical diagnostics, agriculture, forensics, and environmental studies. Learning NGS can boost your career prospects and open new opportunities in the field of genomics and bioinformatics. NGS

Bioinformatics, the intersection of biology and computational science, has emerged as a powerful tool in understanding and analyzing complex biological data. While academic research has made significant strides in this field, there exists a gap between academic bioinformatics and industrial bioinformatics. Bridging this gap is crucial for maximizing the potential of bioinformatics in real-world applications,

Source: National Institute of Health Full story: Researchers have released a new high-quality collection of reference human genome sequences that captures substantially more diversity from different human populations than what was previously available. The work—published recently in Nature—was led by the Human Pangenome Reference Consortium (HPRC)—an international group funded by the National Human Genome Research