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Genomics and Epigenetics

CRISPR-Based Activation (CRISPRa) of Genes: A How-To Guide

The purpose of this article is to walk you through the steps needed to overexpress genes using CRISPR/Cas9-based activation (CRISPRa). A broader overview of this topic (including CRISPR-based repression) can be found here. CRISPR/Cas9 is more than a programmable nuclease. When stripped of its nuclease activity, it can activate and repress transcription, alter chromatin structure,…

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CRISPR-Cas9 Genome Editing: Weighing the Pros and Cons

Genome editing is a hugely powerful tool which can help you to address a multitude of questions in your research. However, it is not necessarily the best tool for the job in every situation. Below is a discussion of the main advantages and disadvantages associated using CRISPR-Cas9 for genome editing. The Pros It’s Simple to…

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What’s that Organism? Using DNA Barcoding for Species Identification

In both the lab and field, it is important to know what species we are working with. While morphological data has always been a tried and true method of identifying species, DNA barcoding allows us to identify species when we don’t have that option (e.g. if we don’t have enough of a specimen to identify…

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How to Confirm Your CRISPR-cas9 Genome Editing Was Successful

You have sweated at the lab bench and in the cell culture suite for weeks (or more likely months) to plan and optimize for successful genome editing. Finally, you’ve got the guide RNAs and the vectors into the cells. Yes! But your work is not yet finished. You can’t take for granted the fact that…

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Use ddRAD-seq to Study Non-Model Organisms

Reduced-representation genome sequencing has been one of the most important advances in the last several years for enabling massively parallel genotyping of organisms for which there is no reference-grade genome assembly. An implementation of the approach known as ddRAD-seq, first conceived in the Hoekstra lab at Harvard, has been widely adopted by the plant and…

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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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Kick-Start Your Gut Microbiome Study in Four Easy Steps

Today, the gut microbiome is garnering a large amount of media attention for its role in human health and disease. From influencing immune responses to impact our brain, the gut microbiome is an important and necessary aspect of our life. So much so, that current investigations in the gut microbiome are focusing on developing biomarkers for…

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Studying the Epigenome by Next Generation Sequencing

The epigenome has been in the research spotlight, and for good reason. Not only has it been associated with the developmental stages of an organism, but epigenetic alterations lead to disorders and have been linked to many human diseases. So, the question stands: what exactly is an epigenome? What Is the Epigenome? Simply put, the…

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Using dbSNP and ClinVar to Classify Gene Variants

As we discussed previously, the gaps in our understanding of the human genome make variant classification an extremely difficult job. However, with each passing day our knowledge increases, and the tools to help us become increasingly more efficient. Let’s pick up where we left off in our first article about variants. After checking Ensemble to…

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ChIP-seq Workflows Run Best with Automated DNA Size Selection

Chromatin immunoprecipitation sequencing, better known as ChIP-seq, is a massively parallel approach for understanding the interactions between proteins and DNA. This is especially important for determining the activity of transcription factors, which is why it’s frequently used to learn about the complicated series of biological steps leading to cancer. It’s also key to many epigenetic…

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Discovering PARP inhibitor resistance mechanisms using genome-wide and focused CRISPR screens

Discovering PARP inhibitor resistance mechanisms using genome-wide and focused CRISPR screens In this webinar, Dr. Stephen Pettitt explains how he applies genome-wide targeted mutagenesis screens to elucidate the genetic basis of drug resistance. Using mouse and breast cancer cell lines, Dr. Pettitt’s team developed a targeted, genome-wide mutagenesis screen to identify mutations responsible for resistance…

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Common challenges and solutions in microbiome analysis workflows

Common challenges and solutions in microbiome analysis workflows Elucidating meaningful, unbiased microbial community profiles from complex microbiome samples is challenging.In this tutorial, you will find: the sources of bias throughout the microbiome analysis workflow practical solutions for troubleshooting your techniques new technologies to achieve the most representative and unbiased microbiome profiles Speakers Sven Reister, Ph.D.PCR…

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Generating High-Quality Genome Assemblies from Metagenomic Sequencing

The decreasing costs in genomic sequencing over the past decade have inspired researchers to apply shotgun next-generation sequencing to entire microbial communities. While the reads generated typically cannot be assembled cleanly into individual genomes, there is often enough information produced to identify most microbes present in the population. However, this approach lacks sufficient resolution to…

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A Beginner’s Guide to Single-Cell RNA Sequencing

Since our early steps in Science we have been told that every cell in our body has the exact same genetic information (minus one or two alterations). Therefore, the great variety of cells in our body comes from gene expression – each cell must express one set of genes and repress another set to function…

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Simultaneous Proteomics and Transcriptomics: The Future of Single Cell Analysis

Simultaneous Proteomics and Transcriptomics: The Future of Single Cell Analysis Join us in this webinar featuring Dr. Marlon Stoeckius as he explains how you can improve your single-cell RNA-sequencing (scRNA-seq) experiments.In this tutorial, you will find: How you can run one scRNA-seq experiment with numerous protein markers in parallel How you can increase your recovery of…

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Get to Know Your Reference Genome (GRCh37 vs GRCh38)

Whether your experiment relies upon a reference-based genome assembly or mapping reads to a reference genome to identify variants, you need to choose a human reference genome assembly. But wait! You go to the FTP site of NCBI’s refseq and click on the Homo sapiens folder. There you are presented with two choices. Which one…

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