Results 141 to 150 of about 1,743,586 (380)
The evolution of genome mining in microbes – a review
Natural Product Reports, 2016 This article reviews the development of genome mining strategies in bacteria during the last decade.
Ziemert, Nadine +2 more
openaire +4 more sources
Advanced Science, EarlyView.VPS72 overexpression activates mTORC1 signaling, subsequently promoting lipid synthesis and driving HCC progression. VPS72 modulates the epigenetic landscape of ATF3 promoter, such as H2A.Z acetylation reduction and DNA methylation increase, which results in ATF3 repression and subsequent activation of mTORC1.
Qinglin Zhang +4 more
wiley +1 more source
ModuleDigger: an itemset mining framework for the detection of cis-regulatory modules [PDF]
, 2009 Background: The detection of cis-regulatory modules (CRMs) that mediate transcriptional responses in eukaryotes remains a key challenge in the postgenomic era. A CRM is characterized by a set of co-occurring transcription factor binding sites (TFBS).
De Bie, Tijl +8 more
core +2 more sources
Parasitology, 2004 The term ‘data mining’ can be used to describe any process where useful information is extracted from data with a large background of ‘noise’. In the context of a genome project, several stages involve data mining. Amongst the sequence data, ‘signals’ need to be detected that indicate the presence of interesting features.
openaire +3 more sources
AGILE: an assembled genome mining pipeline
Bioinformatics, 2018 Abstract Summary A number of limiting factors mean that traditional genome annotation tools either fail or perform sub-optimally when trying to detect coding sequences in poor quality genome assemblies/genome reports.
Graham M Hughes, Emma C Teeling
openaire +4 more sources
Advanced Science, Volume 12, Issue 15, April 17, 2025.The multimodal AI‐based RSA model is a powerful tool for diagnosing GC‐CY1, offering significant advantages over traditional diagnostic methods. By combining radiomic and clinical data, the model achieves superior predictive performance, providing a non‐invasive, accurate, and rapid alternative for detecting peritoneal involvement in gastric cancer ...
Ping'an Ding +15 more
wiley +1 more source
Molecules, 2016 Genome mining is an effective tool used to discover novel natural products from actinomycetes. Genome sequence analysis of Streptomyces sp. FJS31-2 revealed the presence of one putative type II polyketide gene cluster (ABX), which may correspond to type ...
Yuhong Lü +10 more
doaj +1 more source
Computer Aided Simulation of DNA Fingerprint Amplified Fragment Length Polymophism (AFLP) Using Suffix Tree Indexing and Data Mining [PDF]
, 2011 AFLP is one of the DNA Fingerprinting techniques which have broad application as genetic marker in various fields. Begin with the DNA sequence digestion using one or more particular restriction enzyme, ligation of the adapters to the overhanging sticky ...
Budiman, Agung +3 more
core
Conceptual biology, hypothesis discovery, and text mining: Swanson's legacy [PDF]
, 2006 Innovative biomedical librarians and information specialists who want to expand their roles as expert searchers need to know about profound changes in biology and parallel trends in text mining.
Bekhuis, T
core +3 more sources
A Pipeline for Integrated Theory and Data-Driven Modeling of Genomic and Clinical Data [PDF]
arXiv, 2020 High throughput genome sequencing technologies such as RNA-Seq and Microarray have the potential to transform clinical decision making and biomedical research by enabling high-throughput measurements of the genome at a granular level. However, to truly understand causes of disease and the effects of medical interventions, this data must be integrated ...
arxiv