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Careers in Bioinformatics: Hot and Getting Hotter

MARK TERRY | March 13, 2019 | 68 views

The term big data is usually used to describe—surprise! —large volumes of data, both structured and unstructured. That means data generated across an organization or enterprise such as sales figures, website clicks, etc. In biopharma, it can include that information, but increasingly means huge amounts of genetic data as well as other biological and health-related information. Which is where bioinformatics and data science come in. There’s so much data to work with now that there is a need for people who specialize in data analyses and manipulation who have a background in the life sciences.

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MEDTECH

Top 10 biotech IPOs in 2019

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The big question at the start of 2019 was whether the IPO window would stay open for biotech companies, particularly those seeking to pull off ever-larger IPOs at increasingly earlier stages of development. The short answer is yes—kind of. Here’s the long answer: In the words of Renaissance Capital, the IPO market had “a mostly good year.” The total number of deals fell to 159 from 192 the year before, but technology and healthcare companies were standout performers. The latter—which include biotech, medtech and diagnostics companies—led the pack, making up 43% of all IPOs in 2019. By Renaissance’s count, seven companies went public at valuations exceeding $1 billion, up from five the year before

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RESEARCH

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Article | July 11, 2022

Cell-free expression (CFE) is the practice of making a protein without using a living cell. In contrast with cell line-based methods, production is achieved using a fluid containing biological components extracted from a cell, i.e., a lysate. CFE offers potential advantages for biopharma according to Philip Probert, PhD, a senior scientist at the Centre for Process Innovation in the U.K.

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MEDICAL

Closing bacterial genomes from the human gut microbiome using long-read sequencing

Article | July 14, 2022

In our lab, we focus on the impact of the gut microbiome on human health and disease. To evaluate this relationship, it’s important to understand the particular functions that different bacteria have. As bacteria are able to exchange, duplicate, and rearrange their genes in ways that directly affect their phenotypes, complete bacterial genomes assembled directly from human samples are essential to understand the strain variation and potential functions of the bacteria we host. Advances in the microbiome space have allowed for the de novo assembly of microbial genomes directly from metagenomes via short-read sequencing, assembly of reads into contigs, and binning of contigs into putative genome drafts. This is advantageous because it allows us to discover microbes without culturing them, directly from human samples and without reference databases. In the past year, there have been a number of tour de force efforts to broadly characterize the human gut microbiota through the creation of such metagenome-assembled genomes (MAGs)[1–4]. These works have produced hundreds of thousands of microbial genomes that vastly increase our understanding of the human gut. However, challenges in the assembly of short reads has limited our ability to correctly assemble repeated genomic elements and place them into genomic context. Thus, existing MAGs are often fragmented and do not include mobile genetic elements, 16S rRNA sequences, and other elements that are repeated or have high identity within and across bacterial genomes.

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Article | July 20, 2022

The big question at the start of 2019 was whether the IPO window would stay open for biotech companies, particularly those seeking to pull off ever-larger IPOs at increasingly earlier stages of development. The short answer is yes—kind of. Here’s the long answer: In the words of Renaissance Capital, the IPO market had “a mostly good year.” The total number of deals fell to 159 from 192 the year before, but technology and healthcare companies were standout performers. The latter—which include biotech, medtech and diagnostics companies—led the pack, making up 43% of all IPOs in 2019. By Renaissance’s count, seven companies went public at valuations exceeding $1 billion, up from five the year before

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RESEARCH

2022 U.S. Market Research Report with COVID-19 Forecasts2

Article | July 11, 2022

Cell-free expression (CFE) is the practice of making a protein without using a living cell. In contrast with cell line-based methods, production is achieved using a fluid containing biological components extracted from a cell, i.e., a lysate. CFE offers potential advantages for biopharma according to Philip Probert, PhD, a senior scientist at the Centre for Process Innovation in the U.K.

Read More
MEDICAL

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Article | July 14, 2022

In our lab, we focus on the impact of the gut microbiome on human health and disease. To evaluate this relationship, it’s important to understand the particular functions that different bacteria have. As bacteria are able to exchange, duplicate, and rearrange their genes in ways that directly affect their phenotypes, complete bacterial genomes assembled directly from human samples are essential to understand the strain variation and potential functions of the bacteria we host. Advances in the microbiome space have allowed for the de novo assembly of microbial genomes directly from metagenomes via short-read sequencing, assembly of reads into contigs, and binning of contigs into putative genome drafts. This is advantageous because it allows us to discover microbes without culturing them, directly from human samples and without reference databases. In the past year, there have been a number of tour de force efforts to broadly characterize the human gut microbiota through the creation of such metagenome-assembled genomes (MAGs)[1–4]. These works have produced hundreds of thousands of microbial genomes that vastly increase our understanding of the human gut. However, challenges in the assembly of short reads has limited our ability to correctly assemble repeated genomic elements and place them into genomic context. Thus, existing MAGs are often fragmented and do not include mobile genetic elements, 16S rRNA sequences, and other elements that are repeated or have high identity within and across bacterial genomes.

Read More

Selexis Cell Line Development Strategies

Article | February 11, 2020

In today’s biotechnology landscape, to be competitive, meet regulations, and achieve market demands, “we must apply Bioprocessing 4.0,” said Igor Fisch, PhD, CEO, Selexis. In fact, in the last decade, “Selexis has evolved from cloning by limiting dilution to automated cell selection to nanofluidic chips and from monoclonality assessment by statistical calculation to proprietary bioinformatic analysis,” he added. Single-use processing systems are an expanding part of the biomanufacturing world; as such, they are a major component of Bioprocessing 4.0. “At Selexis, we use single use throughout our cell line development workflow. Currently, we have incorporated single-use automated bioprocessing systems such as ambr® and the Beacon® optofluidic platform for accelerated cell line development. By using these systems and optimizing our parameters, we were able to achieve high titers in shake flasks. Additionally, the Beacon systems integrate miniaturized cell culture with high-throughput liquid handling automation and cell imaging. This allows us to control, adjust, and monitor programs at the same time,” noted Fisch.

Read More
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Spotlight

Lonza

Lonza is one of the world’s leading and most-trusted suppliers to the pharmaceutical, biotech and specialty ingredients markets. We harness science and technology to create products that support safer and healthier living and that enhance the overall quality of life.

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INDUSTRIAL IMPACT

Verantos Named "BioInformatics Company of the Year" by BioTech Breakthrough

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Verantos Named "BioInformatics Company of the Year" by BioTech Breakthrough

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Bioinformatics hub at UChicago enables infectious disease research

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The University of Chicago has recently announced that it has setup a new bioinformatics research centre funded by the National Institute of Allergy and Infectious Diseases, National Institutes of Health, Department of Health and Human Services. The most valuable weapon against the next deadly disease outbreak may be data. Scientists aiming to stop or prevent the spread of viral or bacterial pathogens need rapid, comprehensive access to datasets on their genomics, structure, function and more, combined with computational tools to quickly analyse data and make predictions using artificial intelligence techniques. That critical service will be provided by the new Bacterial and Viral Bioinformatics Resource Center (BV-BRC), based at the University of Chicago. The big data resource, combines two independent efforts at UChicago and the J. Craig Venter Institute (JCVI) into a common infrastructure that will support richer scientific data and more powerful analytic tools.

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