Human Genome Sequencing Center Clinical Lab

Human Genome Sequencing Center Clinical LaboratoryThe HGSC Clinical Laboratory (HGSC-CL) is the CAP/CLIA certified molecular diagnostic laboratory operating within the Human Genome Sequencing Center at Baylor College of Medicine.

With a commitment to improving health care through genomic testing, HGSC-CL offers clinical testing services in support of large-scale clinical sequencing efforts.

Texas Medical Center Genomic Center for Infectious Diseases

coronavirusThe Texas Medical Center Genomic Center for Infectious Diseases (TMC GCID) is the collaborative effort of a multidisciplinary, integrated team of basic and physician scientists at three institutions — Baylor College of Medicine, The University of Texas Health Science Center at Houston (UTHealth) School of Public Health, and The University of Texas MD Anderson Cancer Center.

The TMC GCID harnesses decades of experience in genomic sequencing, renowned clinical expertise and the use of novel ex vivo models of human intestinal and pulmonary function to create a platform for large scale genomics-based interrogation of host-mucosal pathogen interactions in the context of human tissues.

COVID-19 Research

Like much of the research community at this urgent time, the Baylor College of Medicine Human Genome Sequencing Center (BCM-HGSC) has turned its focus primarily toward COVID-19 testing and research. With the safety and health of the community and our personnel in mind, the BCM-HGSC is operating with staff working remotely as much as possible while a rotating lab team continues critical research on site.

› Learn more about COVID-19 research at Baylor

Hands-on SARS-CoV-2 genome analysis workshop

The Baylor College of Medicine Human Genome Sequencing Center, Rice University, COV-IRT, DNAnexus and the Alkek Center for Metagenomics and Microbiome Research are organizing a two day workshop, March 29-30, detailing the analysis of SARS-Cov-2 sequencing data, from raw read data to variant analyses and phylogenetic inference. The workshop aims at establishing best analysis practices for the community and training non versed researches in handling virus RNA data from raw fastq files to phylogenetic analysis and comparison.

At the end of the workshop participants will have a profound knowledge of the state of the art computational methods as well as how to apply them and chain them together to undertake a full analysis. In addition, we will discuss the parameters and the pros and cons of certain methods and approaches.

› Learn more and register here

Harmonizing Clinical Sequencing and Interpretation for the eMERGE III Network

A new paper available in preprint on bioRxiv describes the methods developed to harmonize genetic testing protocols linking multiple sites and investigators for the eMERGE III Network. The results mark a critical achievement toward global standardization of genetic testing by establishing protocols for different sites to harmonize the technical and interpretive aspects of sequencing tests. The integration of structured genomic results into multiple electronic health record systems by the eMERGE Network also sets the stage for clinical decision support to enable genomic medicine. 

Uniquely comprehensive Pan-Cancer Atlas provides essential resource

A collection of 27 papers from The Cancer Genome Atlas (TCGA) consortium has been published reporting on the integrated project to analyze all 33 cancer types and to classify mutations and specific pathways. Many of the papers feature significant contributions from Baylor College of Medicine and its Human Genome Sequencing Center researchers. The findings from the 11,000 patient cohort data appear in Cell publications.

Hybrid computational strategy for scalable whole genome data analysis

In a study published in BMC Bioinformatics, researchers from Baylor College of Medicine’s Human Genome Sequencing Center, along with Oak Ridge National Laboratory, DNAnexus and the Human Genetics Center at the University of Texas Health Science Center, have developed a novel hybrid computational strategy to address the growing need for scalable, cost effective and real time variant calling of whole genome sequencing data.

This new strategy has proven successful in analyzing an unprecedented set of 5,000 samples, which constitute a critical part for the international consortia efforts known as The Cohorts for Heart and Aging Research in Genomic Epidemiology, or CHARGE.

An Open Access Pilot Freely Sharing Cancer Genomic Data From Participants in Texas

Texas Cancer Research BiobankIn a pilot Open Access (OA) project from the CPRIT-funded Texas Cancer Research Biobank (TCRB), many Texas cancer patients were willing to openly share genomic data from tumor and normal matched pair specimens. For the first time, genetic data from seven human cancer cases with matched normal are freely available without requirement for data use agreements nor any major restriction except that end users cannot attempt to re-identify the participants.

The TCRB was created to bridge the gap between doctors and scientific researchers to improve the prevention, diagnosis and treatment of cancer.

› Access data
› Read data descriptor in Scientific Data journal

Assessing structural variation in a personal genome—towards a human reference diploid genome

DNA artIn a paper published in BMC Genomics, a team led by scientists from Baylor College of Medicine’s Human Genome Sequencing Center present Parliament, a structural variant (SV) calling pipeline that brings together multiple data types and SV detection methods to improve the characterization of these larger variants.

› Read the research article in BMC Genomics


About Us

The BCM-HGSC, founded in 1996, is a world leader in genomics.

The fundamental interests of the BCM-HGSC are in advancing biology and genetics by improved genome technologies.

One of three large-scale sequencing centers funded by the National Institutes of Health, the BCM-HGSC's location at the heart of the Texas Medical Center provides a unique opportunity to apply the cutting edge of genome technologies in science and medicine.

Learn more about the BCM-HGSC

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