VOLUME 14 | MAY 2014
NATURE REVIEWS | CANCER
Principles and methods of integrative genomic analyses in cancer
Vessela N. Kristensen, Ole Christian Lingjærde, Hege G. Russnes,
Hans Kristian M. Vollan, Arnoldo Frigessi and Anne-Lise Børresen-Dale
Abstract | Combined analyses of molecular data, such as DNA copy-number alteration, mRNA and protein expression, point to biological functions and molecular pathways being deregulated in multiple cancers. Genomic, metabolomic and clinical data from various solid cancers and model systems are emerging and can be used to identify novel patient subgroups for tailored therapy and monitoring. The integrative genomics methodologies that are used to interpret these data require expertise in different disciplines, such as biology, medicine, mathematics, statistics and bioinformatics, and they can seem daunting. The objectives, methods and computational tools of integrative genomics that are available to date are reviewed here, as is their implementation in cancer research.
Article links :
http://www.nature.com/nrc/journal/v14/n5/abs/nrc3721.html
Comment :
현재까지 진행 되었던 Cancer integrative genomics 연구 소개.
태그
- Genomics (5)
- cancer (5)
- RNA-seq (4)
- Bayesian (3)
- Metagenomics (3)
- SNP (3)
- Adaptation (2)
- CNA (2)
- FST (2)
- Loci scanning (2)
- Network Analysis (2)
- Selection (2)
- differential gene expression (2)
- pathway (2)
- ChIP-Seq (1)
- ENCODE (1)
- Human (1)
- K-mer (1)
- Microevolution (1)
- Ortholog (1)
- Phylogenetics (1)
- Population (1)
- Population Genomics (1)
- Structural variation (1)
- Virus (1)
- WGS (1)
- cancer detection (1)
- data integration (1)
- eQTL (1)
- gene expression signature (1)
- heterogeneous cancer (1)
- impure cancer (1)
- modENCODE (1)
- multivariate analysism omics (1)
- paper list (1)
- sQTL (1)
- transcriptional regulatory system (1)
여기 소개된 tool들 중에 유용해보이는게 있으면 갖다 써봐야겠지? 그리고 생각해보니 computational tool 에 대한 위키나 블로그 만들면 좋겠네.
답글삭제네네넹 앞으로 툴 관리를 하게 될 영욱이 형의 의견과 함께 진행하는게 어떨까요?
삭제