This book contains the latest material in the subject, covering NGS applications and meeting the requirements of a complete semester course. This book provides both concept and practice to satisfy the exact need of researchers seeking to use NGS data reprocessing, genome assembly, variant discovery, gene profiling, epigenetics, and metagenomics.
This book contains the latest material in the subject, covering NGS applications and meeting the requirements of a complete semester course. This book provides both concept and practice to satisfy the exact need of researchers seeking to use NGS data reprocessing, genome assembly, variant discovery, gene profiling, epigenetics, and metagenomics.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Hamid D. Ismail received his M.Sc. and Ph.D. in computational science from North Carolina Agricultural and Technical State University (NC A&T), USA, and DVM and B.Sc. from the University of Khartoum, Sudan. He earned several professional certifications including SAS Advanced Programmer and SQL Expert Programmer. Currently he works as a post-doc scholar at Michigan Technological University and adjunct professor of Data Science and Bioinformatics at NC A&T State University. Hamid is a bioinformatician, biologist, data scientist, statistician, and machine learning specialist. He contributed widely to the field of bioinformatics by developing bioinformatics tools and methods for applications of machine learning on genomic data.
Inhaltsangabe
Sequencing and Raw Sequence Data Quality Control Nucleic acids Sequencing Sequencing depth and read quality FASTQ files FASTQ read quality assessment Preprocessing of the FASTQ reads Mapping of sequence reads to the reference genomes Introduction to sequence mapping Read mapping Read sequence alignment and aligners Manipulating alignments in SAM/BAM files Reference-guided genome assembly De novo Genome Assembly Introduction to De Novo genome assembly Examples of De Novo assemblers Genome Assembly Quality Assessment Variant Discovery Introduction to genetic variations Variant calling programs Visualizing variants Variant annotation and prioritization RNA-seq data analysis Introduction to RNA-seq RNA-seq data applications RNA-seq data analysis workflow Chromatin Immunoprecipitation sequencing Introduction to chromatin immunoprecipitation ChIP sequencing ChIP-seq analysis workflow Targeted Gene Metagenomic Data Analysis Introduction to metagenomics Analysis workflow Data Analysis with QIIME2 Shotgun metagenomic data analysis Introduction Shotgun metagenomic analysis workflow
Sequencing and Raw Sequence Data Quality Control Nucleic acids Sequencing Sequencing depth and read quality FASTQ files FASTQ read quality assessment Preprocessing of the FASTQ reads Mapping of sequence reads to the reference genomes Introduction to sequence mapping Read mapping Read sequence alignment and aligners Manipulating alignments in SAM/BAM files Reference-guided genome assembly De novo Genome Assembly Introduction to De Novo genome assembly Examples of De Novo assemblers Genome Assembly Quality Assessment Variant Discovery Introduction to genetic variations Variant calling programs Visualizing variants Variant annotation and prioritization RNA-seq data analysis Introduction to RNA-seq RNA-seq data applications RNA-seq data analysis workflow Chromatin Immunoprecipitation sequencing Introduction to chromatin immunoprecipitation ChIP sequencing ChIP-seq analysis workflow Targeted Gene Metagenomic Data Analysis Introduction to metagenomics Analysis workflow Data Analysis with QIIME2 Shotgun metagenomic data analysis Introduction Shotgun metagenomic analysis workflow
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