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Multiple Myeloma

Overview of attention for book
Cover of 'Multiple Myeloma'

Table of Contents

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    Book Overview
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    Chapter 1 ELDA qASO-PCR for High Sensitivity Detection of Tumor Cells in Bone Marrow and Peripheral Blood
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    Chapter 2 EuroFlow-Based Next-Generation Flow Cytometry for Detection of Circulating Tumor Cells and Minimal Residual Disease in Multiple Myeloma
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    Chapter 3 Cytoplasmic Immunoglobulin Vs. DNA Analysis by Flow Cytometry
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    Chapter 4 Deep Profiling of the Immune System of Multiple Myeloma Patients Using Cytometry by Time-of-Flight (CyTOF)
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    Chapter 5 Fluorescence In Situ Hybridization (FISH) in Multiple Myeloma
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    Chapter 6 Whole Exome Sequencing in Multiple Myeloma to Identify Somatic Single Nucleotide Variants and Key Translocations Involving Immunoglobulin Loci and MYC
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    Chapter 7 RNA-Sequencing from Low-Input Material in Multiple Myeloma for Application in Clinical Routine
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    Chapter 8 Protocol for M 3 P: A Comprehensive and Clinical Oriented Targeted Sequencing Panel for Routine Molecular Analysis in Multiple Myeloma
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    Chapter 9 Analysis of Circulating Tumor DNA
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    Chapter 10 Detection of Cross-Sample Contamination in Multiple Myeloma Samples and Sequencing Data
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    Chapter 11 Analysis of Global Gene Expression Profiles
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    Chapter 12 Genome Wide Mapping of Methylated and Hydroxyl-Methylated Cytosines Using a Modified HpaII Tiny Fragment Enrichment by Ligation Mediated PCR Tagged Sequencing Protocol
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    Chapter 13 A Rapid and Robust Protocol for Reduced Representation Bisulfite Sequencing in Multiple Myeloma
  15. Altmetric Badge
    Chapter 14 Microfluidic Production and Application of Lipid Nanoparticles for Nucleic Acid Transfection
  16. Altmetric Badge
    Chapter 15 Microfluidic Assembly of Liposomes with Tunable Size and Coloading Capabilities
Attention for Chapter 10: Detection of Cross-Sample Contamination in Multiple Myeloma Samples and Sequencing Data
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Chapter title
Detection of Cross-Sample Contamination in Multiple Myeloma Samples and Sequencing Data
Chapter number 10
Book title
Multiple Myeloma
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7865-6_10
Pubmed ID
29797257
Book ISBNs
978-1-4939-7864-9, 978-1-4939-7865-6
Authors

Owen W. Stephens, Tobias Meißner, Niels Weinhold, Stephens, Owen W., Meißner, Tobias, Weinhold, Niels

Abstract

The increasing applicability and sensitivity of next generation sequencing methods exacerbate one of the main issues in the molecular biology laboratory, namely cross-sample contamination. This type of contamination, which could massively increase the rate of false-positive calls in sequencing experiments, can originate at each step during the processing of multiple myeloma samples, such as CD138-selection of tumor cells, RNA and DNA isolation or the processing of sequencing libraries. Here we describe a Droplet Digital PCR (ddPCR) method and a simple bioinformatic solution for the detection of contamination in patient's samples and derived sequencing data, which are based on the same principle: detection of alternative alleles for single-nucleotide polymorphisms (SNPs) that are homozygous according to the control (germ line) sample.

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The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 38%
Other 2 25%
Librarian 1 13%
Researcher 1 13%
Unknown 1 13%
Readers by discipline Count As %
Computer Science 3 38%
Medicine and Dentistry 2 25%
Biochemistry, Genetics and Molecular Biology 1 13%
Pharmacology, Toxicology and Pharmaceutical Science 1 13%
Unknown 1 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 25 June 2018.
All research outputs
#18,640,437
of 23,092,602 outputs
Outputs from Methods in molecular biology
#7,988
of 13,207 outputs
Outputs of similar age
#330,852
of 442,634 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,499 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,207 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 24th percentile – i.e., 24% of its peers scored the same or lower than it.
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We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.

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