The aim of functional genomics studies is to understand the complex relationship between genotype and phenotype on a global (genome-wide) scale. Studies investigate a range of processes such as transcription, translation and epigenetic regulation, in an attempt to answer relevant biological questions such as:
Source Data |
Recommended File Formats |
Sequence and base call quality data |
FASTQ and FASTA formats |
Sequence alignment data |
SAM and BAM formats |
Genome annotations | GTF, GFF and BED format |
Dense continuous data (e.g. %GC) | WIG and bigWig |
Next-generation sequencing (NGS), also known as high-throughput sequencing, is the catch-all term used to describe a number of different modern sequencing technologies. It is being widely used over sanger sequencing, due to the speed, cost, accuracy, as well as the sample size, compared to the high throughput of data generated
Functional genomics is a field of molecular biology that attempts to make use of the vast wealth of data produced by genomic and transcriptomic projects (such as genome sequencing projects and RNA-seq) to describe gene (and protein) functions and interactions.
Praesent accumsan porta odio eget hendrerit. Lorem ipsum dolor forever and rvrt
sit amet, consectetur adipiscing elit. Etiam ut nunc nisl, in pellentesque mi.
Praesent accumsan porta odio eget hendrerit. Lorem ipsum dolor forever and rvrt
sit amet, consectetur adipiscing elit. Etiam ut nunc nisl, in pellentesque mi.
Functional genomics is a field of molecular biology that attempts to make use of the vast wealth of data produced by genomic and transcriptomic projects (such as genome sequencing projects and RNA-seq) to describe gene (and protein) functions and interactions.