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Single Molecule and Single Cell Sequencing

Overview of attention for book
Cover of 'Single Molecule and Single Cell Sequencing'

Table of Contents

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    Book Overview
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    Chapter 1 Strategies for Converting RNA to Amplifiable cDNA for Single-Cell RNA Sequencing Methods
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    Chapter 1 Real Time Gesture (Fall) Recognition of Traffic Video Based on Multi-resolution Human Skeleton Analysis
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    Chapter 2 Determining Acceleration Lane Length on Expressway Weaving Area Using Microscopic Traffic Simulation
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    Chapter 2 Integrated Fluidic Circuits for Single-Cell Omics and Multi-omics Applications
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    Chapter 3 Single-Cell DNA-Seq and RNA-Seq in Cancer Using the C1 System
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    Chapter 3 Study on Optimal Model of Traffic Signal Control at Oversaturated Intersection
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    Chapter 4 Nx1-Seq (Well Based Single-Cell Analysis System)
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    Chapter 4 Application of Intelligent Transportation System in Intelligent Network Environment
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    Chapter 5 Quantitation of mRNA Transcripts and Proteins Using the BD Rhapsody™ Single-Cell Analysis System
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    Chapter 5 Stochastic Traffic-Assignment with Multi-modes Based on Bounded Rationality
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    Chapter 6 A Map Matching Algorithm Combining Twice Gridding and Weighting Factors Methods
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    Chapter 6 An Informative Approach to Single-Cell Sequencing Analysis
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    Chapter 7 A Study on the Decision-Making Heterogeneity of Parking Mode Choice
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    Chapter 7 Bionano Genome Mapping: High-Throughput, Ultra-Long Molecule Genome Analysis System for Precision Genome Assembly and Haploid-Resolved Structural Variation Discovery
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    Chapter 8 An Improved Vehicle Detection and Tracking Model
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    Chapter 8 Informatics for PacBio Long Reads
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    Chapter 9 Determination of Best Foaming Parameters of Modified Asphalt Using Response Surface Analysis Method
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    Chapter 9 Challenges of Single-Molecule DNA Sequencing with Solid-State Nanopores
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    Chapter 10 Adaptive Fuzzy Logic Traffic Signal Control Based on Cuckoo Search Algorithm
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    Chapter 10 On-Site MinION Sequencing
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    Chapter 11 Research on Road Traffic Signal Timing Method Based on Picture Self-learning
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    Chapter 12 Review of Ramp Metering Methodologies for Urban Expressway
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    Chapter 13 Research on the Application of TOD Theory—Taking Huijin Road Station of Shanghai Rail Transit Line 17 as an Example
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    Chapter 14 Data-Driven Safety Model on Urban Rail Transit Signal System
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    Chapter 15 Simulation Data Generating Algorithm for Railway Turnout Fault Diagnosis in Big Data Maintenance Management System
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    Chapter 16 Research on the Warning Threshold of Rail Transit Passenger Flow by Big Data
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    Chapter 17 Optimization of Subway Departure Timetable by Genetic Algorithm
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    Chapter 18 Review of Safety Assessment System on Urban Rail Transit
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    Chapter 19 Research on Application of PC Technology in Shanghai Metro Line 17
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    Chapter 20 Research on Test of Shear Strength of Aggregates Based on Gradation and Particle Shape
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    Chapter 21 The Seismic Analysis of the Structure of Hydraulic Tunnels
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    Chapter 22 Analysis on the Effect of Excavation by Sections for Large Foundation Pit Without Horizontal Struts
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    Chapter 23 Research on Robot Education Curriculum System and Settings in Internet of Things Major
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    Chapter 24 Research on Expressway Network Tolling Platform Technology Based on GIS+BIM
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    Chapter 25 Commercial Vehicle Dynamic Third Party Safety Supervision of Based on GPS/Beidou Technologies
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    Chapter 26 Research on Application of BIM Technology in Municipal Engineering Construction
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    Chapter 27 Study on BIM Technology Application in the Whole Life Cycle of the Utility Tunnel
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    Chapter 28 A Review of Air Quality Monitoring System Based on Crowdsensing
Attention for Chapter 1: Strategies for Converting RNA to Amplifiable cDNA for Single-Cell RNA Sequencing Methods
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Chapter title
Strategies for Converting RNA to Amplifiable cDNA for Single-Cell RNA Sequencing Methods
Chapter number 1
Book title
Single Molecule and Single Cell Sequencing
Published by
Springer, Singapore, April 2019
DOI 10.1007/978-981-13-6037-4_1
Pubmed ID
30968357
Book ISBNs
978-9-81-136036-7, 978-9-81-136037-4
Authors

Yohei Sasagawa, Tetsutaro Hayashi, Itoshi Nikaido, Sasagawa, Yohei, Hayashi, Tetsutaro, Nikaido, Itoshi

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X Demographics

The data shown below were collected from the profiles of 51 X users 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 15%
Student > Master 3 15%
Researcher 3 15%
Student > Bachelor 2 10%
Professor 2 10%
Other 2 10%
Unknown 5 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 50%
Agricultural and Biological Sciences 4 20%
Computer Science 1 5%
Unknown 5 25%

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