Results 21 to 30 of about 361,695 (297)

Functional annotation of regulatory pathways [PDF]

Bioinformatics, 2007
Abstract Motivation: Standardized annotations of biomolecules in interaction networks (e.g. Gene Ontology) provide comprehensive understanding of the function of individual molecules. Extending such annotations to pathways is a critical component of functional characterization of cellular signaling at the systems level ...
Jayesh Pandey, Mehmet Koyutürk, Yohan Kim, Wojciech Szpankowski, Shankar Subramaniam, Ananth Grama   +5 more
openaire   +2 more sources

Manual Annotation Studio (MAS): a collaborative platform for manual functional annotation of viral and microbial genomes

BMC Genomics, 2021
Background Functional genome annotation is the process of labelling functional genomic regions with descriptive information. Manual curation can produce higher quality genome annotations than fully automated methods.
Matthew R. Lueder, Regina Z. Cer, Miles Patrick, Logan J. Voegtly, Kyle A. Long, Gregory K. Rice, Kimberly A. Bishop-Lilly   +6 more
doaj   +1 more source

An annotation scheme for citation function [PDF]

Proceedings of the 7th SIGdial Workshop on Discourse and Dialogue - SigDIAL '06, 2006
We study the interplay of the discourse structure of a scientific argument with formal citations. One subproblem of this is to classify academic citations in scientific articles according to their rhetorical function, e.g., as a rival approach, as a part of the solution, or as a flawed approach that justifies the current research.
Simone Teufel, Advaith Siddharthan, Dan Tidhar   +2 more
openaire   +3 more sources

zhypan/Functional-Annotation-of-Pig: Functional-Annotation-of-Pig

, 2021
Zhangyuan Pan#, Yuelin Yao#, Hongwei Yin, Zexi Cai, Ying Wang, Lijing Bai, Colin Kern, Michelle Halstead, Kelly Chanthavixay, Nares Trakooljul, Klaus Wimmers, Goutam Sahana, Guosheng Su, Mogens Sandø Lund, Merete Fredholm, Peter Karlskov-Mortensen ...
pan
core   +1 more source

PINOT: an intuitive resource for integrating protein-protein interactions

Cell Communication and Signaling, 2020
Background The past decade has seen the rise of omics data for the understanding of biological systems in health and disease. This wealth of information includes protein-protein interaction (PPI) data derived from both low- and high-throughput assays ...
James E. Tomkins, Raffaele Ferrari, Nikoleta Vavouraki, John Hardy, Ruth C. Lovering, Patrick A. Lewis, Liam J. McGuffin, Claudia Manzoni   +7 more
doaj   +1 more source

Review on the Computational Genome Annotation of Sequences Obtained by Next-Generation Sequencing

Biology, 2020
Next-Generation Sequencing (NGS) has made it easier to obtain genome-wide sequence data and it has shifted the research focus into genome annotation. The challenging tasks involved in annotation rely on the currently available tools and techniques to ...
Girum Fitihamlak Ejigu, Jaehee Jung
doaj   +1 more source

Enhanced functionalities for annotating and indexing clinical text with the NCBO Annotator+ [PDF]

Bioinformatics, 2018
Abstract Summary Second use of clinical data commonly involves annotating biomedical text with terminologies and ontologies. The National Center for Biomedical Ontology Annotator is a frequently used annotation service, originally designed for biomedical data, but not very suitable for clinical text ...
Tchechmedjiev, Andon, Abdaoui, Amine, Emonet, Vincent, Melzi, Soumia, Jonnagaddala, Jitendra, Jonquet, Clement   +5 more
openaire   +3 more sources

ConFunc—functional annotation in the twilight zone [PDF]

Bioinformatics, 2008
Abstract Motivation: The success of genome sequencing has resulted in many protein sequences without functional annotation. We present ConFunc, an automated Gene Ontology (GO)-based protein function prediction approach, which uses conserved residues to generate sequence profiles to infer function.
Mark N. Wass, Michael J. E. Sternberg
openaire   +3 more sources

Transcript annotation in FANTOM3: mouse gene catalog based on physical cDNAs. [PDF]

PLoS Genetics, 2006
The international FANTOM consortium aims to produce a comprehensive picture of the mammalian transcriptome, based upon an extensive cDNA collection and functional annotation of full-length enriched cDNAs.
Norihiro Maeda, Takeya Kasukawa, Rieko Oyama, Julian Gough, Martin Frith, Pär G Engström, Boris Lenhard, Rajith N Aturaliya, Serge Batalov, Kirk W Beisel, Carol J Bult, Colin F Fletcher, Alistair R R Forrest, Masaaki Furuno, David Hill, Masayoshi Itoh, Mutsumi Kanamori-Katayama, Shintaro Katayama, Masaru Katoh, Tsugumi Kawashima, John Quackenbush, Timothy Ravasi, Brian Z Ring, Kazuhiro Shibata, Koji Sugiura, Yoichi Takenaka, Rohan D Teasdale, Christine A Wells, Yunxia Zhu, Chikatoshi Kai, Jun Kawai, David A Hume, Piero Carninci, Yoshihide Hayashizaki   +33 more
doaj   +2 more sources

Protein Function Prediction with Incomplete Annotations [PDF]

IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2014
Automated protein function prediction is one of the grand challenges in computational biology. Multi-label learning is widely used to predict functions of proteins. Most of multi-label learning methods make prediction for unlabeled proteins under the assumption that the labeled proteins are completely annotated, i.e., without any missing functions ...
Guo-Xian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zhiwen Yu 0002   +4 more
openaire   +2 more sources