Learn to use iHOP, or Information Hyperlinked Over Proteins; a sophisticated, next generation, text-mining database. It provides comprehensive, up-to-date information on specific genes and proteins by automatically scanning millions of PubMed abstracts each day. iHOP will selectively present only the information on genes and proteins you want. The control over the reliability and relevance of the retrieved information always remains in the hands of the user. Use iHOP to get improved results from all your scientific literature searches more efficiently.
You will learn:
This tutorial is a part of the tutorial group Text-related tools. You might find the other tutorials in the group interesting:
PubMatrix: PubMatrix, an on-line tool for multiplex literature mining of the PubMed database.
STRING: known and predicted protein-protein interactions
Textpresso: Text-mining the biological literature
Gene Ontology: Gene Ontology controlled vocabularies in biology
XplorMed: eXploring Medline abstracts
GoMiner: Ascribe biological significance to large lists of genes by annotating them with their corresponding GO categories
Controlled Vocabularies: Standardized term lists that can enhance interactions with biological databases
DAVID: A tool that analyzes large lists of genes to provide biological meaning
Entrez Overview: Overview of NCBI's Entrez Search Resource
PubMed: PubMed access to biomedical research literature
Literature and Text Mining : Tools which are related to scientific literature. Repositories, query tools, and mining resources are included.
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New Online Tutorial for iHOP from OpenHelix: Comprehensive tutorial on the publicly available iHOP database enables researchers to quickly and effectively use this invaluable next-generation resource. Seattle, WA, August 10, 2009 -- OpenHelix to...
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Recent BioMed Central research articles citing this resource
Razfar Mojtaba et al., On robustness of physical layer network coding to pollution attack. EURASIP Journal on Wireless Communications and Networking (2017) doi:10.1186/s13638-016-0788-9
Yang Jie et al., Vehicle networking data-upload strategy based on mobile cloud services. EURASIP Journal on Embedded Systems (2016) doi:10.1186/s13639-016-0057-3
Zhang Qi et al., An unequal redundancy level-based mechanism for reliable data collection in wireless sensor networks. EURASIP Journal on Wireless Communications and Networking (2016) doi:10.1186/s13638-016-0754-6
Loviglio Nicla Maria et al., Identification of a RAI1 -associated disease network through integration of exome sequencing, transcriptomics, and 3D genomics. Genome Medicine (2016) doi:10.1186/s13073-016-0359-z
Taranetz Martin et al., A survey on modeling interference and blockage in urban heterogeneous cellular networks. EURASIP Journal on Wireless Communications and Networking (2016) doi:10.1186/s13638-016-0740-z