Deep Sequencing Data Analysis

<p>Detecting Causal Variants in Mendelian Disorders using Whole Genome Sequencing.- Statistical Considerations on NGS Data for Inferring Copy Number Variations.- Applications of Community Detection Algorithms to Large Biological Datasets.-&nbsp;Processing and Analysis of RNA-seq data from Public Resources.-&nbsp;Improved Analysis of High-throughput Sequencing Data Using Small Universal k-mer Hitting Sets.- An Introduction to Whole-metagenome Shotgun Sequencing Studies.-&nbsp;Microbiome Analysis using 16S Amplicon Sequencing: From Samples to ASVs.-&nbsp;RNA-Seq in Non-model Organisms.-&nbsp;Deep Learning Applied on Next Generation Sequencing Data Analysis.-&nbsp;Interrogating the Accessible Chromatin Landscape of Eukaryote Genomes using ATAC-seq.-&nbsp;Genome-Wide Noninvasive Prenatal Diagnosis of SNPs and Indels.-&nbsp;Genome-wide Noninvasive Prenatal Diagnosis of De Novo Mutations.-&nbsp;Accurate Imputation of Untyped Variants from Deep Sequencing Data.- Multi-region Sequence Analysisto Predict Intratumor Heterogeneity and Clonal Evolution.-&nbsp;Overcoming Interpretability in Deep Learning Cancer Classification.-&nbsp;Single-cell Transcriptome Profiling.-&nbsp;Biological Perspectives of RNA-sequencing Experimental Design.-&nbsp;Analysis of microRNA Regulation in Single Cells.-&nbsp;DNA Data Collection and Analysis in the Forensic Arena.</p>

<p>&nbsp;<br></p>

<p>&nbsp;</p>