The MAQC Society announces publication of a collection of next-gen sequencing best practice articles

The Massive Analysis and Quality Control (MAQC) Society, an organization seeking to promote and advance reproducible science principles and quality control, today announced the publication of a collection of journal articles in the September issue of Nature Biotechnology (NBT). With leadership from the U.S. Food and Drug administration (FDA), the Sequencing and Quality Control Phase 2 (SEQC2) consortium published these articles from three hundred collaborating participants within more than 150 organizations spanning academia, industry, hospitals, and federal agencies.  The September NBT collection includes other successful SEQC2 research articles that appeared earlier this year in NBTGenome Biology, and Genome Medicine.

The publications in this collection detail bioinformatic methods, metrics, reference samples, recommendations, and protocols when using next-gen sequencing in the research, clinical or regulatory setting, especially in oncology, that lead to more reproducible results. For sequencing-community members wishing to construct or pressure-test the robustness of sequencing pipelines, this collection describes publicly available samples, data, and consensus results and recommendations. In addition, the collection provides a sweeping assessment of experimental and algorithmic sequencing methods. In addition to scientific research articles, the collection features an editorial by Marc Salit, Director of Joint Initiative for Metrology in Biology at SLAC National Accelerator Laboratory, and Janet Woodcock, Acting Commissioner of the U.S. FDA regarding the historical and current impact of MAQC Society member efforts.

Publications in Collection

About the MAQC Society

The goal of the MAQC Society is to communicate, promote, and advance reproducible science principles and quality control for analysis of the massive data generated from the existing and emerging technologies in solving biological, health, and medical problems. Specifically, the society seeks to advocate and facilitate the development and application of quality control practices and standard analysis protocols of bioinformatics and biostatistics for enhanced reproducibility across multiple experiments, laboratories, and data analysis methods. In addition, the MAQC Society seeks to advance our understanding and best practices in the analysis of massive data from emerging technologies applied in drug development, clinical application, and safety/risk assessment.


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