Sequencing, Finishing, and Analysis in the Future Meeting


“Sequencing, Finishing and Analysis in the Future” (SFAF) is an annual meeting dedicated to bringing together experts in the genomics field—including representatives from the industries that serve this specialized scientific community.Sequencing

The meeting focuses on laboratory methods and computational tools used to help sequence, assemble, and finish genomes, including new sequencing technologies, which promise high-throughput results by sequencing more base-pairs per run at longer read-lengths.

2015 Meeting

Meeting Materials

Keynote speakers were

  • Eric Boerwinkle,  Baylor College of Medicine Human Genome Sequencing Center 
  • Daniel Rokhsar, University of California at Berkeley and the Joint Genome Institute
  • Paul Keim, Northern Arizona University, Translational Genomics Research Institute

Areas of emphasis included

Genome Sequencing

  • Sequencing strategies and technology advancements using the various NGS platforms
  • De novo sequencing, re-sequencing, Human seq., RNA seq., metagenomics, etc.
  • Sequencing applications for Metagenomics, Forensics, and Biosurveillance

Genome Assembly

  • Whole genome assemblers and integration of next generation data
  • De novo assemblers for short reads, hybrid assemblers 
  • Recalling and calibrating genome assemblies
  • Single cell and metagenomic assemblies

Genome Improvement

  • Next generation finishing tools, technologies and pipelines
  • Human Genomics and genome improvement
  • Quality standards for new technologies and mixed data sets
  • Single cell / cell sorting and metagenomic finishing

Genome Analysis

  • Genome annotation and pathway identification tools and pipelines
  • Comparative genomics, re-sequencing, SNPs, structural variation
  • Large scale data management, cloud computing
  • Analysis applications for Forensics, Metagenomics, and Biosurveillance

Applications of NGS

  • Bringing sequence to the clinic (i.e. diagnostics)
  • Human, non-human, and infectious disease applications
  • Synthetic Genomics