Disclosed is a computer-based method for designing a set of primers to be used for an amplification reaction of a sequence of a target nucleic acid, comprising: a) providing a target nucleic acid sequence; b) providing the conditions of the amplification reaction of the target nucleic acid sequence and design criteria of the primers; c) manually selecting a candidate primer; d) subjecting the primer to a hybridization algorithm; e) subjecting the candidate primer to a folding algorithm to predict the conformation of the most stable structure of the hairpin of the candidate primer and calculate the ?G, ?H and ?S values thereof; f) comparing said values obtained from the hybridization and folding algorithms with the design criteria; g) if the result of said comparison is acceptable, repeating steps b)-e) with another candidate primer until a set of primers is obtained, otherwise h) changing the selection of the candidate primer.

Provided herein are methods and systems for producing a modified biological dataset by flagging or removing a nucleic acid sequence from the biological dataset that is assigned a noise-call to produce the modified biological dataset. The noise-call may be based on comparing a gene expression level, sequence information, or a combination thereof with a nucleic acid sequence of a control sample.

The present invention relates to peptides, proteins, nucleic acids and cells for use in immunotherapeutic methods. In particular, the present invention relates to the immunotherapy of cancer. The present invention furthermore relates to tumor-associated T-cell peptide epitopes, alone or in combination with other tumor-associated peptides that can for example serve as active pharmaceutical ingredients of vaccine compositions that stimulate anti-tumor immune responses, or to stimulate T cells ex vivo and transfer into patients. Peptides bound to molecules of the major histocompatibility complex (MHC), or peptides as such, can also be targets of antibodies, soluble T-cell receptors, and other binding molecules.

The present invention relates a system and method for analysis of telomere patterning. The method includes: capturing a dataset of telomere length using a measurement technique; determining component distributions of the dataset relating to telomere length; determining primary values between each of the component distributions, the primary values representing a pairwise assessment of a level of similarity between the component distributions; determining higher order values of at least one higher order assessment of each of the primary values; and outputting the primary values and the higher order values.

The present invention relates to peptides, proteins, nucleic acids and cells for use in immunotherapeutic methods. In particular, the present invention relates to the immunotherapy of cancer. The present invention furthermore relates to tumor-associated T-cell peptide epitopes, alone or in combination with other tumor-associated peptides that can for example serve as active pharmaceutical ingredients of vaccine compositions that stimulate anti-tumor immune responses, or to stimulate T cells ex vivo and transfer into patients. Peptides bound to molecules of the major histocompatibility complex (MHC), or peptides as such, can also be targets of antibodies, soluble T-cell receptors, and other binding molecules.

The present invention relates to peptides, proteins, nucleic acids and cells for use in immunotherapeutic methods. In particular, the present invention relates to the immunotherapy of cancer. The present invention furthermore relates to tumor-associated T-cell peptide epitopes, alone or in combination with other tumor-associated peptides that can for example serve as active pharmaceutical ingredients of vaccine compositions that stimulate anti-tumor immune responses, or to stimulate T cells ex vivo and transfer into patients. Peptides bound to molecules of the major histocompatibility complex (MHC), or peptides as such, can also be targets of antibodies, soluble T-cell receptors, and other binding molecules.

The invention relates to methods for diagnosing Parkinson's Disease PAD) with miRNA markers. Towards the identification of biomarkers for diagnosis of PD, a comprehensive analysis of miRNA expression patterns was obtained. Significantly deregulated miRNAs were identified.

The present invention relates to genomic informatics and gene-expression profiling. Gene-expression profiles provide complex molecular fingerprints regarding the relative state of a cell or tissue. Similarities in gene-expression profiles between organic states provide molecular taxonomies, classification, and diagnostics. Similarities in gene-expression profiles resulting from various external perturbations reveal functional similarities between these perturbagens, of value in pathway and mechanism-of-action elucidation. Similarities in gene-expression profiles between organic and induced states may identify clinically-effective therapies. Systems and methods herein provide for the measurement of relative gene abundances, including unbiased selection of and construction of probes and targets designed and methods for using known properties of sparsity of measurements to reach gene abundances.

Disclosed herein are methods, systems, platforms, non-transitory computer-readable medium, services, and kits for determining a cancer type in an individual. Also described herein include methods, systems, platforms, non-transitory computer-readable medium, and compositions for generating a CpG methylation profile database.

The present invention provide methods using genes associated with multi-drug resistance for rapidly detecting a patient colonized or infected with an multi-drug resistant organism and administrating the appropriate precautions and/or treatment.