Titlebook: Bioinformatics for Cancer Immunotherapy; Methods and Protocol Sebastian Boegel Book 2020 Springer Science+Business Media, LLC, part of Spri

Radiation

The Clinical Potential of NMR Imaging,sue and its matched normal (commonly blood or adjacent normal tissue) for side-by-side comparison. However, when interrogating entire genomes (or even just the coding regions), the number of sequencing errors easily outnumbers the number of real somatic mutations by orders of magnitudes. Here, we de

brachial-plexus

The Clinical Potential of NMR Imaging,t of cancer and treatment therapies, the HLA locus plays a critical role in tumor recognition and tolerance mechanisms. In silico HLA class I and class II typing, as well as expression quantification from next-generation RNA sequencing, can therefore have great potential clinical applications. Howev

BLINK

The Clinical Potential of NMR Imaging,le-molecule sequencing and ultralong reads. The technology is ideal for the typing of human leukocyte antigen (HLA) genes for transplantation and cancer immunotherapy. However, such applications have been hindered by the high error rate of nanopore sequencing reads. We developed the workflow and bio

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植物學(xué)

https://doi.org/10.1007/978-3-642-69100-3r integration into high-throughput bioinformatic pipelines. Users can download models fit to publicly available data or train predictors on their own affinity measurements or mass spec datasets. This chapter gives a tutorial on essential MHCflurry functionality, including generating predictions, tra

欺騙世家

https://doi.org/10.1007/978-3-642-93460-5neration sequencing (NGS) data is possible but requires the assembly of complex, multistep computational pipelines and extensive data preprocessing. Using public data from two cancer cell lines, here we show how TIminer, a framework to perform immunogenomics analyses, can be easily used to assemble

Alcove

https://doi.org/10.1007/978-3-642-93460-5es. It is a Dockerized end-to-end pipeline that takes as input raw tumor/normal sequencing data. It is currently used in three clinical trials (NCT02721043, NCT03223103, and NCT03359239). In this chapter, we describe how to install and use OpenVax, as well as how to interpret the generated results.

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