Baylor College of Medicine

Integrative exome sequencing and machine learning identify new genes contributing to systemic sclerosis risk

Systemic sclerosis (SSc) is a severe autoimmune disease with complex genetic causes. Some genetic contributors have been identified, but others remain unknown, which has impeded development of ...
ascopubs.org

Genome Sequencing of Undiagnosed European Patients Suspected of Hereditary Cancer: Diagnostic Yield and Identification of Candidate Causative Variants

Increasing Use of Germline Genetic Testing in Pancreatic Ductal Adenocarcinoma and Relationship to Clinical Outcome: A Single-Institution Study Hereditary cancers represent 5%-10% of all cancers, ...
JSTOR Daily

Dynamic Linear Model for the Identification of miRNAs in Next-Generation Sequencing Data

This is a preview. Log in through your library . Abstract Next-generation sequencing technologies are poised to revolutionize the field of biomedicai research. The increased resolution of these data ...
EurekAlert!

AmproCode: an unprecedent amplifiable protein identification method towards next generation protein sequencing techniques

In the workflow of AmproCode, each type of the selected residues on peptide or protein samples can be respectively modified by the DNA barcode, and the composition code which is the relative ratio of ...
ascopubs.org

Paired matched normal sequencing to accurately identify somatic clonal hematopoiesis mutations (CHm) in solid tumor tissue and plasma specimens.

ctDNA as a biomarker in phase II study of tepotinib in advanced solid cancers with MET exon 14 skipping mutation or amplification (KCSG AL19-17). Characterization of molecular response and progression ...
The Scientist

Massively Parallel Sequencing Technology Allows Forensic Biologists to Tackle Cold Cases

Advances in DNA sequencing technology help forensic biologists identify suspects where traditional DNA profiling has failed, ...
GEN

Integrative Exome Sequencing and Machine Learning Identify New Genes Contributing to Systemic Sclerosis Risk

Scientists at the Baylor College of Medicine and collaborating institutions used complementary approaches that integrate exome sequencing and evolutionary action machine learning to identify protein ...