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GEN – Genetic Engineering and Biotechnology News
Mary Ann Liebert, Inc. Publishers
GEN Edge
Gene Therapy
The Italian Job: An Interview with Gene Therapist Federico Mingozzi
Coronavirus
A ‘Patch’-Work Solution to Vaccine Delivery
Bioinformatics
NVIDIA Powers Up in Drug Discovery
Coronavirus
Life Sciences Go Viral in Maryland
Coronavirus
One COVID-19 Shot, Two Approaches
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Synthetic Biology
Minimal CRISPR-Cas3 System Makes Substantial Deletions
Biomarkers
Diagnostic for Detecting Alzheimer’s Earlier Developed
Cancer
How Melanoma Increases Immunotherapy Resistance
OMICs
Role of Gut Microbiome in Multiple Sclerosis Depends on Genetic Makeup
Genetics
Got to Go? Scientists Uncover Gene That Helps Sense a Full…
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Bioprocessing
Digital Pharma Is a Major Cultural Change
Bioprocessing
Contract Manufacturer Sets Up for Fill-and-Finish Next-Generation Therapies
Gene Therapy
The Italian Job: An Interview with Gene Therapist Federico Mingozzi
Bioprocessing
Ori Biotech Raises $30 Million in Financing
A-Lists
A-Lists
Top 50 NIH-Funded Institutions of 2020
July 2020 Vol. 40 No. 7
Top 10 Earners among Women Biopharma Executives
June 2020 Vol. 40 No. 6
In Praise of Lesser-Sung Life Sciences Clusters
Coronavirus
Blinking Red: 25 Missed Pandemic Warning Signs
Coronavirus
Vanquishing the Virus: 160+ COVID-19 Drug and Vaccine Candidates in Development
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Cancer
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OMICs
Translational Medicine
Genome Editing
Synthetic Biology
Minimal CRISPR-Cas3 System Makes Substantial Deletions
Biomarkers
Diagnostic for Detecting Alzheimer’s Earlier Developed
Bioprocessing
Digital Pharma Is a Major Cultural Change
Bioprocessing
Counting Growth in Continuous Biomanufacturing Operations
Magazine
October 2020 Vol. 40 No. 10
Spatial: The Next Omics Frontier
October 2020 Vol. 40 No. 10
Gene Therapy Startups Extend Biotech’s Legacy
October 2020 Vol. 40 No. 10
Viral or Nonviral: Which Is Better for CRISPR-Based Therapies?
October 2020 Vol. 40 No. 10
The Chronicles of CRISPR
October 2020 Vol. 40 No. 10
Host Cell Protein Analysis Informs Risk Assessment
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![The researchers computer algorithm approach to developing peptides is more cost-effective and much more time-effective. [Ella Marushchenko]](https://www.genengnews.com/wp-content/uploads/2018/08/Apr16_2018_MITEllaMarushchenko_AntimicrobialPeptide8518133251-324x160.jpg "Antimicrobials Evolved by Computer Show Fitness against Antibiotic-Resistant Bacteria")
