Bioinformatics
Empowering Modern Biology and Medicine with Data
In the realm of modern biology and medicine, data is paramount. Software platforms available through our offerings provide the essential tools needed to collect, analyze, and share data, driving scientific breakthroughs and advancing clinical research.
Comprehensive Bioinformatics Tools
The massive amounts of data generated by next-generation sequencers necessitate powerful bioinformatics tools for effective aggregation, interpretation, and dissemination. The bioinformatics software suite featured here supports the entire genomic research process, from initial setup to detailed analysis.
Adapting to evolving technology, these solutions push the boundaries of innovation and overcome obstacles that hinder progress.
Seamless Integration Across Workflows
The software ecosystem spans a variety of applications, facilitating secondary and tertiary analyses with ease. This portfolio of software solutions accelerates development milestones, enabling researchers to achieve their goals more efficiently.
Our bioinformatics services encompass a range of computational and analytical techniques used to extract meaningful information from biological data. Here's an overview of bioinformatics services that Scientigen is providing:
01
Sequence Analysis
This involves analyzing DNA, RNA, or protein sequences to identify patterns, motifs, similarities, and differences. It includes tasks like sequence alignment, homology searching, and motif discovery.
02
Genome Assembly and Annotation
Genome assembly involves piecing together short DNA sequences (reads) into longer contiguous sequences (contigs) or entire genomes. Annotation involves identifying genes, regulatory elements, and other functional elements within a genome
03
Transcriptomics
Transcriptomic analysis involves studying gene expression by sequencing RNA molecules. This includes differential gene expression analysis, isoform discovery, and alternative splicing analysis.
Empowering innovation
in life science and diagnostics
04
Metagenomics
Metagenomics involves studying genetic material recovered directly from environmental samples, such as soil or water, to characterize microbial communities. This can include taxonomic profiling, functional profiling, and comparative metagenomics.
05
Phylogenetics
Phylogenetic analysis involves reconstructing evolutionary relationships between organisms based on genetic data. This includes building phylogenetic trees, estimating divergence times, and inferring ancestral sequences.
06
Microarray
Analysis involves preprocessing raw data, performing differential expression analysis, and interpreting results through visualization and integration with biological knowledge. Key steps include quality control, normalization, differential expression testing, and visualization techniques such as heatmaps and volcano plots, ultimately facilitating the identification of genes and pathways associated with biological processes and diseases.
Our Services
In the field of life sciences, we provide a wide range of services, from whole genome sequencing to metagenomic analysis. Our bioinformatics support process starts before the project even begins.
