About GEN Biotechnology

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


  • RNA/DNA vaccines
  • Antibody engineering
  • T-cell therapies
  • Antigen delivery vectors and approaches


  • Sequencing technologies
  • Gene function
  • Genome organization
  • Spatial biology

Synthetic Biology

  • DNA writing
  • Synthetic epigenetics
  • Synthetic circuits


  • 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


  • Tissue engineering
  • Nanobiotechnology
  • Biomaterials
  • Biosensors
  • 3D printing

High-resolution Analysis Methods

  • Imaging technologies
  • Single-cell biology