Aims & Scope
The biotech industry has been booming in recent years, setting numerous records including the annual number of new drugs winning approval; the number of professionals working in biotech; the amount of investment funding; and the new technologies fueling further progress and innovation in the industry. New technologies such as CRISPR have sparked an entire sub-industry around genome editing, leading to cures for devastating diseases less than a decade post development. From next-gen sequencing and organs-on-chips to synthetic biology and spatial biology, the list goes on.
GEN Biotechnology is the premier peer-reviewed journal from Mary Ann Liebert, Inc. and Genetic Engineering & Biotechnology News (GEN) delivering exceptional research breakthroughs, news, and analysis directly impacting biotech. Published bimonthly in print and online with flexible open access options, the Journal provides a dynamic forum aimed at unifying both traditional academic audiences and executives and researchers from across the industry.
GEN Biotechnology Coverage Includes:
Drug Discovery/Development
- De novo protein design
- Drug delivery methods
- Multiplexing and increasing throughput
- Selection/screening strategies
- Organs on chips
Cell and Gene Therapy
- Non-viral delivery
- Viral vectors
- RNA therapeutics
Genome Editing
- CRISPR-Cas
- Base and prime editing
- CRISPR screens
- Transposases/integrases
- CRISPR toolbox
Therapeutics and Human Health:
- Stem cells
- Cancer research
- Microbiome engineering
- Precision medicine
- Diagnostic tools
- Aging research
Immunotherapy
- RNA/DNA vaccines
- Antibody engineering
- T-cell therapies
- Antigen delivery vectors and approaches
Genomics
- Sequencing technologies
- Gene function
- Genome organization
- Spatial biology
Synthetic Biology
- DNA writing
- Synthetic epigenetics
- Synthetic circuits
Proteomics
- Protein structure/function
- Biomarkers
- Structural genomics
Agbiotech and Sustainability
- Crop improvement
- Bioremediation
- Meat alternatives for food consumption
- Carbon negative methods
- Biofuels
Computational Biology
- Bioinformatics
- Systems biology
- Mathematical modeling
- Protein structure prediction and design
- Machine learning for biological data and applications
- Data deconvolution
Bioengineering
- Tissue engineering
- Nanobiotechnology
- Biomaterials
- Biosensors
- 3D printing
High-resolution Analysis Methods
- Imaging technologies
- Single-cell biology