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Everything about Genome mining
Research process
Genome mining describes the exploitation of genomic information for the discovery of biosynthetic pathways of natural products and their possible interactions. It depends on computational technology and bioinformatics tools. The mining process relies on a huge amount of data accessible in genomic databases. By applying data mining algorithms, the data can be used to generate new knowledge in several areas of medicinal chemistry, such as discovering novel natural products. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Genome miningA 5-minute orientation
- Skim a recent paper: The rice genome annotation project: an updated database for mining the rice genomeInfluential work since 2022
- Pick up a classic book: Data Mining for Genomics and ProteomicsThe most-reprinted book on the subject
- Read the landmark paper: DGIdb: mining the druggable genomeCited 483 times
- Go sideways: Computational genomicsA closely related topic
- Go sideways: Metabolic gene clusterA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
DGIdb: mining the druggable genome
BAGEL: a web-based bacteriocin genome mining tool
Automated genome mining for natural products
Genome Mining for Novel Natural Product Discovery
Mining the Mammalian Genome for Artiodactyl Systematics
Genome mining for ribosomally synthesized natural products
Automated Genome Mining of Ribosomal Peptide Natural Products
Genome mining of Streptomyces ambofaciens
🆕 Influential since 2022
The rice genome annotation project: an updated database for mining the rice genome
Genome mining for unknown–unknown natural products
Genome mining strategies for metallophore discovery
Genome Mining for New Enzyme Chemistry
Genome mining reveals novel biosynthetic gene clusters in entomopathogenic bacteria
📚 Books worth reading
- 📕Data Mining for Genomics and ProteomicsDarius M. Dziuda · 2010
Data mining and applications in genomicsSio-Iong Ao · 2008
Data analysis and visualization in genomics and proteomicsFrancisco Azuaje · 2005
Genome exploitationJ. Perry Gustafson, John W. Snape · 2005
Fundamentals of Data Mining in Genomics and ProteomicsWerner Dubitzky, Martin Granzow · 2007- 📕Baio deitʻŏ maining mit tʻonghap kwalli haeksim S/W kʻŏmpʻonŏntʻŭ kaebal =Hanʼguk Chŏnja Tʻongsin Yŏnʼguwŏn · 2007
Data mining for genomics and proteomicsDarius M. Dzuida · 2010
Genome Exploitation Data Mining The GenomeJohn W. Snape · 2011
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Computational genomics Computational genomics refers to the use of computational and statistical analysis to decipher biology from genome sequences and related data, including…
- Metabolic gene cluster Metabolic gene clusters or biosynthetic gene clusters (BGC) are tightly linked sets of mostly non-homologous genes participating in a common, discrete…
- Eriko Takano Eriko Takano is a professor of synthetic biology and a director of the Synthetic Biology Research Centre for Fine and Speciality Chemicals (SYNBIOCHEM)…
- Integrated Microbial Genomes System The Integrated Microbial Genomes (IMG) system is a genome browsing and annotation platform developed by the U.S. Department of Energy (DOE)-Joint Genome…
- Machine learning in biology Machine learning in biology is the application of machine learning algorithms to biology, especially in computational biology and bioinformatics, including…
- List of biological databases Biological databases are stores of biological information. The journal Nucleic Acids Research regularly publishes special issues on biological databases…
- Model organism database Model organism databases (MODs) are biological databases, or knowledgebases, dedicated to the provision of in-depth biological data for intensively studied…
- KEGG KEGG (Kyoto Encyclopedia of Genes and Genomes) is a collection of databases dealing with genomes, biological pathways, diseases, drugs, and chemical substances…