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The branch of science that combines biology with computer science and information technology to handle the data-rich outputs from projects like the Human Genome Project.

This technique compares the genomic content of different cells and has been significant in identifying and mapping genetic anomalies such as deletions or duplications related to diseases.

This is a method used to determine the positions of genes, and genetic markers on each chromosome. The resulting genome maps are essential for navigating and analyzing the vast genetic data.

Officially completed in 2003, after 13 years of international collaboration. It provided the first complete sequence of a human genome, serving as a foundational reference for biomedical research.

Launched in 2003, this project aimed to develop a haplotype map of the human genome to find genes affecting health, disease, and responses to drugs and environmental factors.

A method where large DNA segments are cloned and sequenced individually before assembly, this meticulous approach contributed significantly to the accuracy of the Human Genome Project.

A sequencing strategy that cuts DNA into random, small fragments, later reassembled by computational methods. This technique was vital for sequencing complex genomes like that of humans.

These are variations at single positions in the DNA sequence among individuals. Mapping SNPs is essential for understanding genetic diversity and disease susceptibility.

Developed in the 1980s, automated DNA sequencing was crucial in the massive undertaking of determining the sequence of the human genome, greatly speeding up the process.