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Cancer bioinformatics

Author: A Krasnitz
Publisher: New York, N.Y. : Humana Press : Springer, [2018] ©2019
Series: Methods in molecular biology (Clifton, N.J.), v. 1825.
Edition/Format:   eBook : Document : EnglishView all editions and formats
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Genre/Form: Laboratory Manual
Electronic books
Additional Physical Format: Print version:
Cancer bioinformatics.
New York, N.Y. :
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: A Krasnitz
ISBN: 9781493988686 1493988689
OCLC Number: 1059519052
Description: 1 online resource (x, 280 pages) : illustrations (some color)
Contents: Primer for access to repositories of cancer-related genomic big data / John Torcivia-Rodriguez, Hayley Dingerdissen, Ting-Chia Chang, and Raja Mazumder --
Building portable and reproducible cancer informatics workflows : an RNA sequencing case study / Gaurav Kaushik and Brandi Davis-Dusenbery --
Computational analysis of structural variation in cancer genomes / Matthew Hayes --
CORE : a software tool for delineating regions of recurrent DNA copy number alteration in cancer / Guoli Sun and Alexander Krasnitz --
Identification of mutated cancer driver genes in unpaired RNA-Seq samples / David Mosen-Ansorena --
Computational protocol for detecting somatic mutations by integrating DNA and RNA sequencing / Matthew D. Wilkerson --
Allele-specific expression analysis in cancer using next-generation sequencing data / Alessandro Romanel --
Computational analysis of lncRNA function in cancer / Xu Zhang and Tsui-Ting Ho --
Computational methods for identification of T cell neoepitopes in tumors / Vanessa Isabell Jurtz and Lars Rønn Olsen --
Computational and statistical analysis of array-based DNA methylation data / Jessica Nordlund, Christofer B€acklin, and Amanda Raine --
Computational methods for subtyping of tumors and their appplications for deciphering tumor heterogeneity / Shihua Zhang --
Statistically supported identification of tumor subtypes / Guoli Sun and Alexander Krasnitz --
Computational methods for analysis of tumor clonality and evolutionary history / Gerald Goh, Nicholas McGranahan, and Gareth A. Wilson --
Predictive modeling of anti-cancer drug sensitivity from genetic characterizations / Raziur Rahman and Ranadip Pal --
In silico oncology drug repositioning and polypharmacology / Feixiong Cheng --
Modeling growth of tumors and their spreading behavior using mathematical functions / Bertin Hoffmann, Thorsten Frenzel, Rudiger Schmitz, Udo Schumacher, and Gero Wedemann.
Series Title: Methods in molecular biology (Clifton, N.J.), v. 1825.
Responsibility: edited by Alexander Krasnitz.

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