The non-coding-related eQTL online database is open to researchers around the world.

"To make a metaphor, if our genetic information is a mountain, geneticists know there is gold in the mountain, but they use a hoe.
our job is to create 'miners' for them to dig out the gold faster, and to show what we've dug up and build into a repository for them to use.
explained their research in this way by Yu Jing, a professor at the School of Information and Biomedical And Health at Huazhong Agricultural University.
's team recently published three articles in the British journal Nucleic Acid Research.
, through an in-depth analysis of the function of genetic variation in a variety of cancers, they found a large number of genetic mutation sites that regulate non-coding nucleotides (ncRNAs) and selective polyadenosine (APA), built an online database and opened it to researchers around the world.
" one of the databases went online for more than a month, and has been visited 1446 times in 22 countries! In an interview with Science Daily, she said she was pleased that her research had gained fans from around the world.
"digs" one of the studies from the "junk gene" to explain in detail, "Expression of quantitative traits (eQTL) refers to the genetic mutation sites in the genome that can influence gene expression."
eQTL analysis is one of the important methods to analyze genetic function and find disease-causing genes, and has been widely used in genetic research.
" genes are divided into encoded and non-coded genes.
however, most of the current research focuses on coding gene-related eQTL identification, and non-coding-related eQTL system analysis is very rare.
said that non-coding is larger than encoded genetic data.
a decade ago people thought it wasn't important, and some people even called it the "junk gene", but now it's finding that it has more and more functions and even participates in the development of cancer.
engaged in biological information technology research for many years, a year ago it was to see the lack of non-coding related eQTL system analysis, decided to lead the team to fill this gap.
they systematically analyzed the relationship between genetic variation and non-coding expression in 33 cancers using genomic and non-coding expression information from nearly 10,000 samples of the Cancer Genome Map (TCGA).
through large samples, multi-group analysis, in 33 types of cancer, they identified a total of more than 6 million kinds of shun eQTLs and more than 700,000 trans-type eQTLs related to long non-coding.
they further associated and analyzed the identified eQTLs with survival information in cancer patients, identified 8,235 long non-coding RNA-eQTLs and 116 microRNA-eQTLs associated with the patient's total survival time.
on that basis, they built an online database.
on this site, other researchers can easily browse and query a variety of cancer-related eQTL data.
these eQTL data will help understand how genetic risk alleles promote tumor occurrence and development, help geneticists better understand the role and biological mechanism of non-coding genes in cancer progression, and provide new ideas for the development of potential cancer targets.
can also extend to the background of animal and plant-based science doctors and Ph.D.s choosing bioinformatics, giving yu Jing more interdisciplinary thinking.
she believes that an important responsibility of bioinformatics ists is to provide biologists and geneticists, as well as clinicians, with more convenient tools and data resources. "Because there are very few non-coding-related eQTL studies, this means that there are fewer research methods that can be used for our reference, so the choice of methods, data collection and analysis, the construction of related databases, etc. require us to know."

To improve the credibility and viability of our research, we use phenotypes and survival information from professional cancer databases, which are industry-certified and reliable data.
" in database construction, how to reflect professional science at the same time to make users easy to understand? It took them a lot of time.
they changed multiple versions, from color matching, typography, and content to filling up, with the aim of providing other researchers with an intuitive database and doing their best to present the characteristics that a professional database should have.
their genetic research methods can be used not only for cancer but also for other diseases.
can also be extended to the study of animals and plants.
recently, by extensively collecting and processing genome sequencing data on animals, they have built a genome reference panel for 13 species to create a database for filling animal genetic data.
this database can be widely used in animal genetic breeding and quality improvement research.
the data in the database and the tools provided can greatly save the cost and time of research and greatly improve the efficiency of scientific research.
said they will continue to maintain and update the databases later in the day, hoping to benefit more researchers.
, they are also considering further deepening their research based on developed databases and identified genetic sites with potential functions.
specifically, it is to combine the results obtained by bioinformatics methods with population molecular epidemiology and molecular biology, dig deep into the function of genetic sites, and hope that through multi-dimensional analysis to find and identify some cancer-related biomarkers or drug targets, and truly realize the combination of production, research and development, and promote clinical biomedical practice, so as to benefit the public.
Source: Science Daily.