Genome International Corporation

De novo genome assembly is typically carried out when a reference genome sequence of a particular organism is unavailable. The process involves putting together overlapping pieces of DNA obtained from sequencing of unknown template DNA (from an organism). It is a computationally intensive process and requires a number of parameter adjustments based on the nature of the organism. GIC's services include draft genome assembly plus detailed genome annotation, which can be visualized in a powerful genome browser environment.

• De novo assembly at different K-mer lengths
• Statistical information of assembled contigs (total number of assembled contigs, size distribution of assembled contigs, average contig size, N50 and N90 contig sizes).
• Scaffolding of contigs
• Gap closing and ordering contigs
• Assembly validation
• Genome annotation (structural and functional)

Micro RNAs are a class of small non-coding RNAs of length 18-22bp. Recent discoveries about the functions and roles of miRNAs have sparked great interest in the study of a new level of gene regulation involved in development and disease.

• Known and novel miRNA tagcounts.
• Identification of differentially expressed miRNAs.
• Identification of target genes.
• Pathway and GO analysis.
• Data visualization.

Chromatin immunoprecipitation (ChIP) followed by sequencing is a powerful method to determine the locations of DNA binding sites for a protein (transcription factor) of interest. Determining protein-DNA interactions involved in gene regulation is essential to fully understand biological processes and diseases.

• Alignment and fragment length distribution analysis.
• Transcription factor binding site detection / motif discovery.
• Target gene identification.
• Pathway and GO analysis.

Analyze genome-wide DNA methylation patterns by immunoprecipitation of methylated cytosines or based on bisulfite conversion of methylated cytosines to uracil.

• Alignment of bisulfite converted reads to the reference genome.
• Detailed mapping of methylcytosine positions.
• Discovery of differentially methylated regions.
• Pathway and GO analysis.
• Data Visualization.

A quick and effective strategy to identify disease-causing genes for rare Mendelian disorders. The strategy is also being applied to profile all variants in complex diseases such as Cancer, Diabetes and AMD.

• Alignment of exome data to the reference genome.
• Coverage estimation.
• Variant discovery.
• Variant annotation.
• Variant association testing.
• Data Visualization.

Comprehensive method to understand gene expression and regulation in development and disease. Time-series data, data from genetic variants, and data from microarray platforms, are all supported.

• Alignment of transcriptome data to the reference genome
• Transcript assembly
• Detection of novel Genes and isoforms
• Expression analysis
• Differential Expression analysis (if Case-Control experiment/time-series)
• Pathway and GO Analysis
• Gene Fusion Analysis
• Data Visualization