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ADVANCES IN BIOINFORMATICS, BIOSTATISTICS AND OMIC SCIENCES
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
[S.l.] :
BENTHAM SCIENCE PUBLISHERS,
2020.
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Cover
- Title
- Copyright
- End User License Agreement
- Contents
- Foreword
- Preface
- CONSENT FOR PUBLICATION
- CONFLICT OF INTEREST
- ACKNOWLEDGEMENTS
- New Integrated Mitochondrial DNA Bioinformatics Pipeline to Improve Quality Assessment of Putative Pathogenic Variants from NGS Experiments
- INTRODUCTION
- MATERIAL AND METHODS
- Samples
- Mitogenome Assembly/Mapping
- Variant Detection by mtDNA-Server
- Variant Annotation and Prioritization
- In Silico Predictions and Variant Consequences
- RESULTS
- Alignment and Assembly of mtDNAs
- Mitogenome Annotations
- MtDNA Variant Calling and Annotations
- In Silico Functional Consequences and Pathogenicity Predictions
- DISCUSSION
- CONCLUSION AND PERSPECTIVES
- REFERENCES
- Variant Calling on RNA Sequencing Data: State of Art and Future Perspectives
- INTRODUCTION
- NEXT-GENERATION SEQUENCING
- Variant Calling
- Differential Gene Expression Analysis
- VARIANT CALLING FROM RNA-SEQ DATA: WHAT'S THE NEW?
- WHERE VARIANT CALLING ON DNA DOES NOT ARRIVE: RNA EDITING AND IMPRINTING PROFILES
- CONCLUDING REMARKS
- REFERENCES
- An Innovative Gene Prioritization Pipeline for DNA-Sequencing Analyses
- INTRODUCTION
- MATERIALS AND METHODS
- Prioritization of Genes Carrying Variants Obtained From CLC Genomics Workbench
- STOP_ (KNO+UNK) _&_NONSYN_(KNOWN)
- NEW MUT & SNPS IN NEW GENES
- Prioritization of Genes Obtained from DNASTAR Lasergene Suite
- Prioritization by ToppGene
- RESULTS
- Results from CLC Genomics Workbench
- Results from DNASTAR Lasergene Suite
- Results from ToppGene
- DISCUSSION
- REFERENCES
- New Integrated Differential Expression Approach for RNA-Seq Data Analysis
- INTRODUCTION
- MATERIAL AND METHODS
- Software Packages for Detecting Differentially Expressed Genes
- DESEeq2
- edgeR
- Limma
- SAMSeq
- TweeDESeq
- ANOVA
- Other Methods
- Datasets and Methods
- DE Tools and Normalization Methods
- ANALYSIS
- RESULTS
- Validity of DEG Analysis Tools and Concordance Analysis
- Integration of DEG Methods and Performances Evaluation
- DISCUSSION
- CONCLUDING REMARKS
- NOTES
- REFERENCES
- Innovations in Data Visualization for Straightforward Interpretation of Nucleic Acid Omics Outcomes
- INTRODUCTION
- MATERIALS AND METHODS
- DNA-Sequencing: Circos and VIVA tools
- RNA-Sequencing: Omics Playground Suite
- Pathway Analysis: ClueGO and CluePedia Cytoscape plug-ins
- RESULTS
- WES Circular Plot by Circos and Heat Maps by VIVA Provide a Strength Summary of Variant Data
- Omics Playground Provided a Straightforward Full-featured Output of RNA-Seq Samples
- ClueGO and CluePedia Analyses Produced Appealing Graphical Representation of Pathways and Enrichments Involved Clustered Genes
- DISCUSSION
- CONCLUSIONS
- REFERENCES
- Subject Index
- Back Cover