The CBGSE’s bioinformatics jobs site lists opening bioinformatics and computational biology jobs from around the world. In the last year we have posted over 2100 open positions. In addition to posting job openings this site has allowed us to collect data an critical jobs skills need in today’s bioinformatics job market.
Researchers: Ulisses Braga-Neto This work is part of a long-standing collaboration with Dr. Ernesto Marques’ research groups at the at the Johns Hopkins Medical School (Dr. Marques’ previous affiliation), the University of Pittsburgh’s Center for Vaccine Research, and the Oswaldo Cruz Foundation (FIOCRUZ), in Recife, Brazil. The focus of this collaboration is the application of Genomic
Researchers: Ulisses Braga-Neto This work, which is developed in collaboration with Drs. Edward Dougherty (Texas A&M), Michael Bittner (Translational Genomics), and Michelle Zhang (University of Texas at San Antonio), concerns the discovery and validation of proteomic biomarkers from protein-expression data, particularly data from high-throughput Liquid Chromatography-Mass Spectrometry (LC-MS) assays. This is part of the Partnesrhip for
Researchers: Ulisses Braga-Neto The research goals of this proposal concern the solution of significant computational and statistical problems in classification error estimation, with the purpose of improving the assessment of predictions made in classification and inference of genomic and proteomic signals based on small samples in high-dimensional spaces. This research critically impacts the discovery of reliable
Researchers: Ulisses Braga-Neto This research concerns the modeling and inference of Boolean regulatory network models via the discrete Coefficient of Determination (CoD), with the goal of modeling complex dynamical processes occurring in living tissue, such as canalization of regulatory pathways and response to external stimuli.
Researchers: Ulisses Braga-Neto This research concerns a novel signal model for discrete-time Boolean dynamical systems under noisy observational conditions, which extends and unifies previously proposed models for biochemical regulatory networks, such as Boolean Network with perturbation (BNp) model and the Probabilistic Boolean Network (PBN) model. This novel signal model and its optimal state estimator, called