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WGS Workflow: From Sample Collection to Data Interpretation

The efficiency of whole genome sequencing (WGS) workflows has skyrocketed since its inception. Major leaps and minor tweaks in the WGS workflow have compounded over time resulting in radical reductions in processing time and the cost of sequencing whole genomes over the past decades. The complete sequencing of the first human genome, named the Human…

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The Recipe for Successful Whole Genome Sequencing

The success of whole genome sequencing (WGS) is shown in the quick and efficient scientific response to the 2011 outbreak of E. coli in Germany and France.1 German and French strains of E. coli were indistinguishable using standard tests.  However, WGS analysis showed 2 single nucleotide polymorphisms (SNPs) in the German strains and 9 SNPs…

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A Colorful Route to Sequencing Success

An oft-repeated maxim in biological bench science is that any experiment is only as good as its control. A control is an unchanging standard of comparison in an experiment, and an internal control is typically a standard reaction run together with the test reaction in the same reaction mixture. The purpose of an internal control…

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Reducing GC Bias in WGS: Moving Beyond PCR

WGS technologies have seen significant progress since the completion of the Human Genome Project in 2003. First-generation Sanger Sequencers were limited by lengthy run times, high expenses, and throughputs that read only tens of kilobases per run. The arrival of second-generation sequencers in the mid-2000s brought about the plummeting of sequencing costs and run times,…

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How to Improve Your WGS DNA Library

In whole genome sequencing (WGS) initiatives it is not enough to simply sequence the whole length of the genomic DNA sample just once. This is because genomes are usually very large. The human genome, for example, contains approximately 3 billion base pairs. Although sequencing accuracy for individual bases is very high, when you consider large…

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Generating RNA-seq Libraries from RNA

One of the most powerful methods of modern cellular biology is creating and analyzing RNA libraries via RNA-sequencing (RNA-seq). This technique, also called whole transcriptome shotgun sequencing, gives you a snapshot of the transcriptome in question, and can be used to examine alternatively spliced transcripts, post-transcriptional modifications, and changes in gene expression, amongst other applications.…

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Battle of the Methods: Whole Transcriptome Versus mRNA-seq

Maybe you want to examine the entire transcriptome or maybe you want to investigate changes in expression from your favorite gene. You could do whole transcriptome sequencing or mRNA-seq. But which one is right for your project? From budget considerations to sample collection, let’s briefly look at both to see which might be best for your…

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Analyzing RNA-Seq Data

RNA-seq is based on next-generation sequencing (NGS) and allows for discovery, quantitation and profiling of RNA. The technique is quickly taking over a slightly older method of RNA microarrays to get a more complete picture of gene expression in a cell. Data generated by RNA-seq can illustrate variations in gene expression, identify single nucleotide polymorphisms…

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RNA Strandedness: A Road Travelled In Both Directions

For most molecular biology purposes, DNA is thought of as a string of nucleotides running from 3’ to 5’, and the corresponding mRNA sequence is complementary to this DNA string. However, visualizing this quirky DNA structure for what it is – two antiparallel strands joined together – it quite important for many applications, such as…

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The Next Big Thing: Alternative Polyadenylation

What Is Alternative Polyadenylation? Processing of mRNA and its regulation plays a fundamental role in gene expression. As science progresses, alternative polyadenylation takes center stage in the undercurrents of gene expression. 1,2 Polyadenylation is part of the pre-mRNA maturation process and involves polyadenylation of the 3’ end of the emerging RNA.  This process happens to…

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The Importance of Non-coding RNAs

What Are Non-Coding RNAs? What was once considered “junk” may end up being the most important part of our genome. Non-coding RNA (ncRNA) is RNA that is transcribed from DNA but diverts from the “central dogma” because it does not code for proteins. NcRNAs are ubiquitous in eukaryotes: while 90 percent of eukaryotic genomes are…

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