Zobrazeno 1 - 10
of 92
pro vyhledávání: '"rSNP"'
Publikováno v:
F1000Research, Vol 11 (2022)
The position weight matrix, also called the position-specific scoring matrix, is the commonly accepted model to quantify the specificity of transcription factor binding to DNA. Position weight matrices are used in thousands of projects and software t
Externí odkaz:
https://doaj.org/article/5175c98fcccf42fb8b8924bb53449468
Publikováno v:
F1000Research, Vol 11 (2022)
The position weight matrix, also called the position-specific scoring matrix, is the commonly accepted model to quantify the specificity of transcription factor binding to DNA. Position weight matrices are used in thousands of projects and software t
Externí odkaz:
https://doaj.org/article/150a5338ebdc41ca993e6108f48d44e0
Publikováno v:
BMC Bioinformatics, Vol 20, Iss 1, Pp 1-13 (2019)
Abstract Background We previously reported on CERENKOV, an approach for identifying regulatory single nucleotide polymorphisms (rSNPs) that is based on 246 annotation features. CERENKOV uses the xgboost classifier and is designed to be used to find c
Externí odkaz:
https://doaj.org/article/b17a183efa2848a98e47d4792e9bf49b
Publikováno v:
Вавиловский журнал генетики и селекции, Vol 20, Iss 6, Pp 797-803 (2017)
A new approach to the search for regulatory SNPs (rSNPs) based on the use of ENCODE project data on ChIP-seq and RNA-seq experiments was developed. The approach was successfully used for the detection of rSNPs associated with colorectal cancer suscep
Externí odkaz:
https://doaj.org/article/0d048e3a7df045598b9284d548352625
Autor:
Dmitry D. Penzar, Arsenii O. Zinkevich, Ilya E. Vorontsov, Vasily V. Sitnik, Alexander V. Favorov, Vsevolod J. Makeev, Ivan V. Kulakovskiy
Publikováno v:
Frontiers in Genetics, Vol 10 (2019)
Many problems of modern genetics and functional genomics require the assessment of functional effects of sequence variants, including gene expression changes. Machine learning is considered to be a promising approach for solving this task, but its pr
Externí odkaz:
https://doaj.org/article/d94dcfa313614b5998d303b76abeb13b
Publikováno v:
Biomolecules, Vol 10, Iss 12, p 1700 (2020)
Our study aims to investigate the impact of the Maturity-onset diabetes of the young 3 disease-linked rSNP rs35126805 located in the HNF-1α gene promotor on the binding of the transcription factor HNF-4α and consequently on the regulation of HNF-1
Externí odkaz:
https://doaj.org/article/e93d7fe9cd5540a69b81b4e1c529daeb
Autor:
Yujie Ning, Jing Ye, Sen Wang, Shiqiang Cheng, Cuiyan Wu, Chujun Liang, Bolun Cheng, Li Liu, Om Prakash Kafle, Mei Ma, Lin Niu, Yan Wen, Xi Wang, Xiaoqiao Xu, Lu Zhang, Xiaomeng Chu, Xin Qi, Feng Zhang, Ping Li
Publikováno v:
Aging (Albany NY)
Background Risky behaviors can lead to huge economic and health losses. However, limited efforts are paid to explore the genetic mechanisms of risky behaviors. Result MASH analysis identified a group of target genes for risky behaviors, such as APBB2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::218d94ccb3327ee6c728e2b4a7a16960
http://europepmc.org/articles/PMC7066886
http://europepmc.org/articles/PMC7066886
Autor:
Stephen A. Ramsey, Yao Yao
Publikováno v:
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing
PSB
PSB
Identification of causal noncoding single nucleotide polymorphisms (SNPs) is important for maximizing the knowledge dividend from human genome-wide association studies (GWAS). Recently, diverse machine learning-based methods have been used for functi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13a0ec887df05801b7a8d1efb8689f95
http://europepmc.org/articles/PMC6897322
http://europepmc.org/articles/PMC6897322
Autor:
Heinrich, Felix, Wutke, Martin, Das, Pronaya Prosun, Kamp, Miriam, Gültas, Mehmet, Link, Wolfgang, Schmitt, Armin Otto
Publikováno v:
Genes
Volume 11
Issue 6
Genes, Vol 11, Iss 614, p 614 (2020)
Volume 11
Issue 6
Genes, Vol 11, Iss 614, p 614 (2020)
Faba bean (Vicia faba) is a grain legume, which is globally grown for both human consumption as well as feed for livestock. Despite its agro-ecological importance the usage of Vicia faba is severely hampered by its anti-nutritive seed-compounds vicin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::05ca58bcc6dc72807568d82b1a4c9707
Autor:
Felix, Heinrich, Martin, Wutke, Pronaya Prosun, Das, Miriam, Kamp, Mehmet, Gültas, Wolfgang, Link, Armin Otto, Schmitt
Publikováno v:
Genes
Faba bean (Vicia faba) is a grain legume, which is globally grown for both human consumption as well as feed for livestock. Despite its agro-ecological importance the usage of Vicia faba is severely hampered by its anti-nutritive seed-compounds vicin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::df9d48eab02d3b7bf2aab0370dd48048
https://pubmed.ncbi.nlm.nih.gov/32516876
https://pubmed.ncbi.nlm.nih.gov/32516876