Genome Assembly and Annotation

De novo genome assembly and annotation of small and medium-sized genomes.
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Variant Calling and Annotation

Detection of genetic markers in a cohort of individuals from DNA sequence data.
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Natural Selection Analysis

Understanding how DNA sequences have changed due to natural selection.
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Phylogenetic Analysis

Construction of a phylogenetic tree from DNA sequences of multiple species.
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Microbiome Analysis

Understanding the role of microbial communities in diseases and overall health.
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DNA–Methylation Analysis

Identifying and understanding the function of methylated regions at single-base resolution across the entire genome using BS-seq or MeDIP-seq data.
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DNA–Protein Binding Sequence Analysis

Identifying and understanding the function of transcription factors and histone modifications across the entire genome using ChIP-seq data.
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Chromatin Accessibility Analysis

Identifying regions of open chromatin across the entire genome and understanding how chromatin packaging affects gene expressions using ATAC-seq data.
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Chromatin Interaction Analysis

Identifying chromatin conformation structures from a genome-wide 3D capture and understanding how chromatin interactions are associated with the regulation of gene expressions using Hi-C data.
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RNA Sequence Analysis

Understanding how gene expression profiles vary between health and disease conditions using RNA-seq or scRNA-seq data.
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RNA Structure Prediction

Prediction of a two-dimensional RNA secondary structure from an RNA base sequence.
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Mass Spectrometry-Based Proteomic Analysis

Understanding and quantitation of mass spectrometry-based proteomic data.
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Protein Function Prediction

Prediction of protein functions from protein sequence data.
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Mass Spectrometry-Based Metabolomic Analysis

Understanding and interpretation of mass spectrometry-based metabolite data.
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Genome Wide Association Analysis

Identification of genetic variants associated with a phenotype.
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Genome Wide Interaction Analysis

Identification of interacting pairs of genetic variants and their association with a phenotype.
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Multi-Omic Integrative Analysis

Exploration and identification of multiple omic measurements associated with a phenotype.
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Genome Editing

Modifying genomic sequences in eukaryotic cells with new genetic information to study and repair disease-causing DNA mutations.
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