At the beginning of the 21st century, the Human Genome Project (HGP) released the first human genetic sketch. The human genome has about 3 billion base pairs, which means that each person's genome has more than 3Gb of data. The plan was linked to the Manhattan Project of the last century (Atomic Bomb Manufacturing), the Apollo Moon Landing Program and the three major science programs, a landmark scientific project for the century.
After 15 years, the rapid development of genome sequencing technology has surpassed people's imagination. Ten years ago, this technology was just a "fascinating" but expensive research tool in the lab. Now, it has gradually entered the medical world and become a slightly "tip" diagnostic technology. This technology also leads the biomedical field into the era of big data.
Earlier, it was predicted that when the cost of personal genome sequencing dropped to $1,000, it would mark the era when our medicine would enter Personalized Medicine. Now, this goal has been basically achieved. With the rapid development of this technology and the flattening of costs, it has begun to bring us huge data, including the emergence of various omics such as genomes and proteomics. It also brought a lot of data.
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Massive data generation
In the past seven or eight years, the amount of personal genomic data we have stored has reached 106. This number is so amazing, and this is just the beginning. Every year, Illumina's HiSeq X 10 sequencer has been able to perform genome sequencing work for more than 18,000 people. The sequencing system has been distributed at the world's top sequencing centers, generating large amounts of data every day. In the United Kingdom, the “100,000 people genome project†was launched in 2014, and the United States and China announced that they would complete the collection of genomic data for up to one million people.
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The data from the Illumina instrument sequencing can be doubled every 12 months; if only in Moore's Law, the data volume can be doubled every 18 months. This situation will bring a huge "data black hole."
The above mentioned is just a microcosm in the era of big data, and there are other data now. For example, with the development of the genome project, the application of human proteome planning and gene sequencing results in the medical field has also been gradually proposed, and they are also adding to the big data. The main purpose of the so-called Human Proteome Project is to study the proteins encoded by all human genes. About this, let's look at the story of a researcher.
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