Abstract: The present disclosure relates to biomarker profiles and their use to predict a subject's response to an immunomodulatory treatment. Biomarkers in these profiles include cytokines and other proteins associated with the interleukin 1 family and the type 1 interferon family. Particular biomarkers include interleukin (IL)-2, soluble IL-2 receptor alpha (sIL-2RA), IL-5, IL-6, IL-9, IL-10, IL-18, IL-18 binding protein (IL-18BP), IL-18 receptor 1 (IL-18R1), IL-18 receptor accessory protein (IL-18RAP), IL-22, C-type lectin-like receptor (CD161), CD56, interferon gamma (IFN?), granulocyte macrophage colony stimulating factor (GM-CSF), serum amyloid A (SAA), and C-reactive protein (CRP). Particular biomarkers also include populations of cells including CD161+ cells and CD56+dim cells. The biomarker profiles can be used to predict a subject's responsiveness to an immunomodulatory treatment (e.g.

Abstract: Processes are described that include computational tools for identification of unknown pathogenic organisms and other threat agents (e.g., rare variants) in samples. The processes can be conducted without specific a priori knowledge of the unknown. Identification may include fragmenting a genome from one or more candidate organisms and READs and/or CONTIGs segments for the unknown organism in silico to form fragments, and determining the statistical relevance of exact fragment matches between the sample fragments and the candidate fragments.