High-throughput sequencing often provides a foundation for experimental analyses in the life sciences. For many such methods, an intermediate layer of bioinformatics data analysis is the genomic signal track constructed by short read mapping...
Read More »A crash course in sequencing for a microbiologist
For the last 40 years, “Sanger sequencing” allowed to unveil crucial secrets of life. However, this method of sequencing has been time-consuming, laborious and remains expensive even today. Human...
Read More »miCloud: a bioinformatics cloud for seamless execution of complex NGS data analysis pipelines
The availability of low-cost small-factor sequencers, such as the Illumina MiSeq, MiniSeq, or iSeq, have paved the way for democratizing genomics sequencing, providing researchers in minority universities with...
Read More »Expression analysis of RNA sequencing data depends on technical replication and normalization methods
The potential for astrocyte participation in central nervous system recovery is highlighted by in vitro experiments demonstrating their capacity to transdifferentiate into neurons. Understanding astrocyte...
Read More »HGT-ID: an efficient and sensitive workflow to detect human-viral insertion sites using next-generation sequencing data
Transfer of genetic material from microbes or viruses into the host genome is known as horizontal gene transfer (HGT). The integration of viruses into the human genome is associated with multiple...
Read More »Recommendations for utilizing targeted RNA sequencing to evaluate potential spliceogenic variants
PCR-based RNA splicing assays are commonly used in diagnostic and research settings to assess the potential effects of variants of uncertain clinical significance in BRCA1 and BRCA2. The Evidence-based...
Read More »Machine Learning for Transcriptomic Data Workshops
Machine Learning proved to be an effective approach to detection of patterns in large datasets, feature selection and classification. However, NGS Transcriptomic data has unique challenges for processing and preparation for these methods and selecting the right approaches to avoid ...
Read More »High-throughput single-cell RNA sequencing and data analysis
Understanding biological systems at a single cell resolution may reveal several novel insights which remain masked by the conventional population-based techniques providing an average readout of the behavior of cells. Single-cell transcriptome sequencing holds the potential to identify novel cell ...
Read More »Researchers use RNA-Seq to explore fusion genes in breast cancer
The advent of next generation sequencing technologies has boosted the interest in exploring the role of fusion genes in the development and progression of solid tumors. In breast cancer, most of the detected gene fusions seem to be “passenger” events ...
Read More »Systematic comparison of small RNA library preparation protocols for next-generation sequencing
Next-generation sequencing technologies have revolutionized the study of small RNAs (sRNAs) on a genome-wide scale. However, classical sRNA library preparation methods introduce serious bias, mainly during adapter ligation steps. Several types...
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