Article
Computer Science, Artificial Intelligence
Shital Kakad, Sudhir Dhage
Summary: This paper explores ontology construction model under cross-domain application, focusing on data filtering and data annotation decision-making processes. The process involves Jaccard Similarity Evaluation, data filtering, outlier detection, semantic annotation, and clustering to form ontology clusters.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Artificial Intelligence
Tao Wang, Haochen Li, Yuhui Zheng, Quansen Sun
Summary: Existing deep learning-based interactive image segmentation methods have reduced user interaction burden with simple clicks, but still require excessive clicks for satisfactory results. This article proposes a one-click-based interactive segmentation approach that achieves accurate segmentation of interested targets while minimizing user interaction cost. It introduces a top-down framework with a two-stage interactive object localization network for coarse localization and a progressive layer-by-layer segmentation network for fine segmentation. The proposed model achieves state-of-the-art performance on benchmarks for one-click interaction.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Article
Mathematics
Siyu Zhu, Yingjie Tian, Fenfen Zhou, Kunlong Bai, Xiaoyu Song
Summary: This paper focuses on domain adaptation in semantic segmentation, proposing a cascaded domain consistency matching strategy called co-occurrence-based consistency matching (COCM) to improve the matching consistency between the source and target domains. The COCM strategy consists of two steps, utilizing category existence and spatial existence to select the best-matching source image. It also divides the categories into three levels to prioritize low-frequency categories, resulting in effective reduction of domain gap.
Article
Computer Science, Information Systems
Arda Sezen, Cigdem Turhan, Gokhan Sengul
Summary: In this study, a framework for generating natural language descriptions of images using deep learning models and semantic image annotation is proposed. Experimental results show the effectiveness of the framework in a controlled environment and its potential for other applications within the supported sports domain via web services.
Article
Food Science & Technology
Vinicius Clemente de Sousa Reis, Isaura Maria Ferreira, Mariah Castro Durval, Robson Carlos Antunes, Andre Ricardo Backes
Summary: In this study, the U-Net deep learning architecture was used to estimate the water holding capacity (WHC) of pork samples by analyzing filter paper images. The results showed that U-Net can accurately segment the external and internal areas of the filter paper images, even with subtle differences in appearance.
Article
Plant Sciences
Yuxian Huang, Jingkun Yan, Yuan Zhang, Weixin Ye, Chu Zhang, Pan Gao, Xin Lv
Summary: Root phenotypic parameters are essential for studying plant growth, usually obtained through root image analysis. This paper proposes an improved OCRNet model with a Global Attention Mechanism (GAM) module to automatically segment roots in high-resolution minirhizotron images, achieving high accuracy. The method provides a new approach for automatic and accurate root segmentation of high-resolution minirhizotron images.
FRONTIERS IN PLANT SCIENCE
(2023)
Article
Geochemistry & Geophysics
Italos Estilon de Souza, Caroline Lessio Cazarin, Mauricio Roberto Veronez, Luiz Gonzaga Jr, Alexandre Xavier Falcao
Summary: Image segmentation is a crucial and challenging task in remote sensing. This letter presents a user-guided data expansion modeling approach that reduces the workload of pixel-level data annotation by learning image marker features, resulting in significant improvement in the generalization performance of deep neural networks for image segmentation.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Computer Science, Artificial Intelligence
Yasser Maatouk
Summary: AI-SPedia is a repository that contains semantic knowledge of scientific publications related to artificial intelligence (AI). It can evaluate the impact of AI research and answer related questions using smart queries. It is the first attempt to evaluate the impacts of AI scientific publications using both bibliometric and altmetric indicators and the power of semantic web technology.
PEERJ COMPUTER SCIENCE
(2022)
Article
Environmental Sciences
Svetlana Illarionova, Dmitrii Shadrin, Vladimir Ignatiev, Sergey Shayakhmetov, Alexey Trekin, Ivan Oseledets
Summary: Remote sensing tasks are crucial for sensing and measuring, and computer vision techniques have advanced to allow extraction of various information from remote sensing satellite imagery. This study proposes a novel neural network-based approach for creating high-detailed forest masks, which can be used for solving problems related to forest clearing, environmental analysis, and carbon footprint assessments.
Article
Plant Sciences
Natalia Sapoukhina, Tristan Boureau, David Rousseau
Summary: Despite the lack of annotated datasets of plant images with disease lesions, this study proposes a novel methodology for generating fluorescent images of diseased plants with automated lesion annotation. The U-Net model trained purely by a synthetically generated dataset efficiently segments disease lesions on fluorescent images of plant leaves, achieving a recall of 0.793% and an average precision of 0.723% on an empirical fluorescent test dataset. The use of synthetic data can facilitate the application of deep learning methods in precision crop protection and improve the generalization ability of deep learning models.
FRONTIERS IN PLANT SCIENCE
(2022)
Article
Computer Science, Artificial Intelligence
Jie Jiang, Jing Liu, Jun Fu, Weining Wang, Hanqing Lu
Summary: To overcome the high computational cost of high-resolution inputs in semantic segmentation models, this study proposes a super-resolution semantic segmentation method using a degraded low-resolution image as input. The Relation Calibrating Network (RCNet) is introduced, consisting of the Relation Upsampling Module (RUM) and the Feature Calibrating Module (FCM), to generate high-resolution segmentation results. Extensive experiments show the effectiveness of the proposed method, achieving comparable results with significantly reduced computational cost on the Cityscapes dataset.
PATTERN RECOGNITION
(2022)
Article
Chemistry, Multidisciplinary
Ramla Bensaci, Belal Khaldi, Oussama Aiadi, Ayoub Benchabana
Summary: This study introduces a hybrid approach that combines CNN and traditional concept-to-image assignment methods to generate compact and unified descriptors through multiple steps, effectively improving the accuracy and semantic relatedness of image annotation.
APPLIED SCIENCES-BASEL
(2021)
Article
Biology
Luke T. Slater, Andreas Karwath, John A. Williams, Sophie Russell, Silver Makepeace, Alexander Carberry, Robert Hoehndorf, Georgios Gkoutos
Summary: This study developed a method to extract patient phenotype profiles from clinical narrative text and used semantic similarity to classify primary patient diagnosis. The results showed that uncurated text phenotypes can be a powerful tool for the differential diagnosis of common diseases.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Information Science & Library Science
Jinju Chen, Shiyan Ou
Summary: The paper proposes a multi-dimensional and hierarchical general semantic annotation framework for digital images, customizes domain annotation ontology for specific domain images, and explores the application of semantic annotation in digital image retrieval, visual analysis, and semantic reuse. This framework provides a solution for the semantic organization of image content and enables deep knowledge services like semantic retrieval and visual analysis.
ELECTRONIC LIBRARY
(2021)
Article
Computer Science, Interdisciplinary Applications
Aravind Devanand, Gourab Karmakar, Nenad Krdzavac, Feroz Farazi, Mei Qi Lim, Y. S. Foo Eddy, Iftekhar A. Karimi, Markus Kraft
Summary: The ElChemo framework addresses the challenges of M2M interaction between entities from different vertical domains, establishing interactions between chemical and electrical systems using OntoTwin ontology and SPIN reasoning techniques. Through a use case scenario involving a chemical plant and an electrical system, the potential of the framework is demonstrated as a first step towards increasing interoperability between cross-domain interactions.
COMPUTERS & CHEMICAL ENGINEERING
(2022)
Article
Biochemistry & Molecular Biology
Seth Carbon, Eric Douglass, Benjamin M. Good, Deepak R. Unni, Nomi L. Harris, Christopher J. Mungall, Siddartha Basu, Rex L. Chisholm, Robert J. Dodson, Eric Hartline, Petra Fey, Paul D. Thomas, Laurent-Philippe Albou, Dustin Ebert, Michael J. Kesling, Huaiyu Mi, Anushya Muruganujan, Xiaosong Huang, Tremayne Mushayahama, Sandra A. LaBonte, Deborah A. Siegele, Giulia Antonazzo, Helen Attrill, Nick H. Brown, Phani Garapati, Steven J. Marygold, Vitor Trovisco, Gil Dos Santos, Kathleen Falls, Christopher Tabone, Pinglei Zhou, Joshua L. Goodman, Victor B. Strelets, Jim Thurmond, Penelope Garmiri, Rizwan Ishtiaq, Milagros Rodriguez-Lopez, Marcio L. Acencio, Martin Kuiper, Astrid Laegreid, Colin Logie, Ruth C. Lovering, Barbara Kramarz, Shirin C. C. Saverimuttu, Sandra M. Pinheiro, Heather Gunn, Renzhi Su, Katherine E. Thurlow, Marcus Chibucos, Michelle Giglio, Suvarna Nadendla, James Munro, Rebecca Jackson, Margaret J. Duesbury, Noemi Del-Toro, Birgit H. M. Meldal, Kalpana Paneerselvam, Livia Perfetto, Pablo Porras, Sandra Orchard, Anjali Shrivastava, Hsin-Yu Chang, Robert Daniel Finn, Alexander Lawson Mitchell, Neil David Rawlings, Lorna Richardson, Amaia Sangrador-Vegas, Judith A. Blake, Karen R. Christie, Mary E. Dolan, Harold J. Drabkin, David P. Hill, Li Ni, Dmitry M. Sitnikov, Midori A. Harris, Stephen G. Oliver, Kim Rutherford, Valerie Wood, Jaqueline Hayles, Jurg Bahler, Elizabeth R. Bolton, Jeffery L. De Pons, Melinda R. Dwinell, G. Thomas Hayman, Mary L. Kaldunski, Anne E. Kwitek, Stanley J. F. Laulederkind, Cody Plasterer, Marek A. Tutaj, Mahima Vedi, Shur-Jen Wang, Peter D'Eustachio, Lisa Matthews, James P. Balhoff, Suzi A. Aleksander, Michael J. Alexander, J. Michael Cherry, Stacia R. Engel, Felix Gondwe, Kalpana Karra, Stuart R. Miyasato, Robert S. Nash, Matt Simison, Marek S. Skrzypek, Shuai Weng, Edith D. Wong, Marc Feuermann, Pascale Gaudet, Anne Morgat, Erica Bakker, Tanya Z. Berardini, Leonore Reiser, Shabari Subramaniam, Eva Huala, Cecilia N. Arighi, Andrea Auchincloss, Kristian Axelsen, Ghislaine Argoud-Puy, Alex Bateman, Marie-Claude Blatter, Emmanuel Boutet, Emily Bowler, Lionel Breuza, Alan Bridge, Ramona Britto, Hema Bye-A-Jee, Cristina Casals Casas, Elisabeth Coudert, Paul Denny, Anne Estreicher, Maria Livia Famiglietti, George Georghiou, Arnaud Gos, Nadine Gruaz-Gumowski, Emma Hatton-Ellis, Chantal Hulo, Alexandr Ignatchenko, Florence Jungo, Kati Laiho, Philippe Le Mercier, Damien Lieberherr, Antonia Lock, Yvonne Lussi, Alistair MacDougall, Michele Magrane, Maria J. Martin, Patrick Masson, Darren A. Natale, Nevila Hyka-Nouspikel, Sandra Orchard, Ivo Pedruzzi, Lucille Pourcel, Sylvain Poux, Sangya Pundir, Catherine Rivoire, Elena Speretta, Shyamala Sundaram, Nidhi Tyagi, Kate Warner, Rossana Zaru, Cathy H. Wu, Alexander D. Diehl, Juancarlos N. Chan, Christian Grove, Raymond Y. N. Lee, Hans-Michael Muller, Daniela Raciti, Kimberly Van Auken, Paul W. Sternberg, Matthew Berriman, Michael Paulini, Kevin Howe, Sibyl Gao, Adam Wright, Lincoln Stein, Douglas G. Howe, Sabrina Toro, Monte Westerfield, Pankaj Jaiswal, Laurel Cooper, Justin Elser
Summary: The Gene Ontology Consortium has made advancements in the last two years, such as improving the GO-CAM annotation framework, increasing the number of annotations and annotated gene products, and reviewing older annotations for consistency.
NUCLEIC ACIDS RESEARCH
(2021)
Article
Plant Sciences
Cedar Warman, Christopher M. Sullivan, Justin Preece, Michaela E. Buchanan, Zuzana Vejlupkova, Pankaj Jaiswal, John E. Fowler
Summary: The authors introduced a cost-effective high-throughput phenotyping system by combining a custom-built imaging platform with a deep learning computer vision pipeline. They demonstrated the ability to distinguish GFP and anthocyanin kernel phenotypes accurately using a maize ear scanner and image analysis software, and achieved increased throughput by implementing an automated kernel counting system using deep learning models.
Article
Plant Sciences
Lillian K. Padgitt-Cobb, Sarah B. Kingan, Jackson Wells, Justin Elser, Brent Kronmiller, Daniel Moore, Gregory Concepcion, Paul Peluso, David Rank, Pankaj Jaiswal, John Henning, David A. Hendrix
Summary: The draft phased assembly of the Cascade cultivar genome of hop provides a comprehensive representation of the hop genome, revealing genes with greater sequence divergence enriched for stress-response, growth, and flowering functions. The study also identified a high level of repetitive sequences in hop, along with a homolog of cannabidiolic acid synthase (CBDAS) expressed in multiple tissues, contributing to a deeper understanding of the genomic landscape of hop.
Article
Microbiology
Pajau Vangay, Josephine Burgin, Anjanette Johnston, Kristen L. Beck, Daniel C. Berrios, Kai Blumberg, Shane Canon, Patrick Chain, John-Marc Chandonia, Danielle Christianson, Sylvain V. Costes, Joan Damerow, William D. Duncan, Jose Pablo Dundore-Arias, Kjiersten Fagnan, Jonathan M. Galazka, Sean M. Gibbons, David Hays, Judson Hervey, Bin Hu, Bonnie L. Hurwitz, Pankaj Jaiswal, Marcin P. Joachimiak, Linda Kinkel, Joshua Ladau, Stanton L. Martin, Lee Ann McCue, Kayd Miller, Nigel Mouncey, Chris Mungall, Evangelos Pafilis, T. B. K. Reddy, Lorna Richardson, Simon Roux, Lynn M. Schriml, Justin P. Shaffer, Jagadish Chandrabose Sundaramurthi, Luke R. Thompson, Ruth E. Timme, Jie Zheng, Elisha M. Wood-Charlson, Emiley A. Eloe-Fadrosh
Summary: Microbiome samples are influenced by their environment, highlighting the importance of metadata in interpreting the data. While important contributions have been made in developing community-driven metadata standards, they are not universally embraced. NMDC hosted a workshop to understand the adoption and barriers of these standards.
Article
Biochemistry & Molecular Biology
Andrew D. Yates, James Allen, Ridwan M. Amode, Andrey G. Azov, Matthieu Barba, Andres Becerra, Jyothish Bhai, Lahcen Campbell, Manuel Carbajo Martinez, Marc Chakiachvili, Kapeel Chougule, Mikkel Christensen, Bruno Contreras-Moreira, Alayne Cuzick, Luca Da Rin Fioretto, Paul Davis, Nishadi H. De Silva, Stavros Diamantakis, Sarah Dyer, Justin Elser, Carla Filippi, Astrid Gall, Dionysios Grigoriadis, Cristina Guijarro-Clarke, Parul Gupta, Kim E. Hammond-Kosack, Kevin L. Howe, Pankaj Jaiswal, Vinay Kaikala, Vivek Kumar, Sunita Kumari, Nick Langridge, Tuan Le, Manuel Luypaert, Gareth L. Maslen, Thomas Maurel, Benjamin Moore, Matthieu Muffato, Aleena Mushtaq, Guy Naamati, Sushma Naithani, Andrew Olson, Anne Parker, Michael Paulini, Helder Pedro, Emily Perry, Justin Preece, Mark Quinton-Tulloch, Faye Rodgers, Marc Rosello, Magali Ruffier, James Seager, Vasily Sitnik, Michal Szpak, John Tate, Marcela K. Tello-Ruiz, Stephen J. Trevanion, Martin Urban, Doreen Ware, Sharon Wei, Gary Williams, Andrea Winterbottom, Magdalena Zarowiecki, Robert D. Finn, Paul Flicek
Summary: Ensembl Genomes provides access to non-vertebrate genomes complementing the vertebrate resources developed by the Ensembl project, creating one of the most comprehensive genomic resources globally. They are focused on reducing genome redundancy and improving gene annotation, pangenome analysis, data dissemination speed, and support for the microbial research community.
NUCLEIC ACIDS RESEARCH
(2022)
Article
Plant Sciences
Yubang Gao, Xuqing Liu, Yandong Jin, Ji Wu, Shuang Li, Yaxing Li, Binqing Chen, Yaxin Zhang, Linxiao Wei, Wei Li, Ruili Li, Chentao Lin, Anireddy S. N. Reddy, Pankaj Jaiswal, Lianfeng Gu
Summary: In this study, the epitranscriptomic and proteomic regulation induced by drought treatment in poplar SDX was examined using Nanopore direct RNA sequencing and tandem mass tag-based proteomic analysis. The results showed that drought stress increased RNA degradation, reduced transcription and translation, and had an impact on the interplay among m(6)A, polyadenylation, PAL, and translation in the SDX of P. trichocarpa.
Article
Genetics & Heredity
Suzi A. Aleksander, James Balhoff, Seth Carbon, J. Michael Cherry, Harold J. Drabkin, Dustin Ebert, Marc Feuermann, Pascale Gaudet, Nomi L. Harris, David P. Hill, Raymond Lee, Huaiyu Mi, Sierra Moxon, Christopher J. Mungall, Anushya Muruganugan, Tremayne Mushayahama, Paul W. Sternberg, Paul D. Thomas, Kimberly Van Auken, Jolene Ramsey, Deborah A. Siegele, Rex L. Chisholm, Petra Fey, Maria Cristina Aspromonte, Maria Victoria Nugnes, Federica Quaglia, Silvio Tosatto, Michelle Giglio, Suvarna Nadendla, Giulia Antonazzo, Helen Attrill, Gil dos Santos, Steven Marygold, Victor Strelets, Christopher J. Tabone, Jim Thurmond, Pinglei Zhou, Saadullah H. Ahmed, Praoparn Asanitthong, Diana Luna Buitrago, Meltem N. Erdol, Matthew C. Gage, Mohamed Ali Kadhum, Kan Yan Chloe Li, Miao Long, Aleksandra Michalak, Angeline Pesala, Armalya Pritazahra, Shirin C. C. Saverimuttu, Renzhi Su, Kate E. Thurlow, Ruth C. Lovering, Colin Logie, Snezhana Oliferenko, Judith Blake, Karen Christie, Lori Corbani, Mary E. Dolan, Dmitry Sitnikov, Cynthia Smith, Alayne Cuzick, James Seager, Laurel Cooper, Justin Elser, Pankaj Jaiswal, Parul Gupta, Sushma Naithani, Manuel Lera-Ramirez, Kim Rutherford, Valerie Wood, Jeffrey L. De Pons, Melinda R. Dwinell, G. Thomas Hayman, Mary L. Kaldunski, Anne E. Kwitek, Stanley J. F. Laulederkind, Marek A. Tutaj, Mahima Vedi, Shur-Jen Wang, Peter D'Eustachio, Lucila Aimo, Kristian Axelsen, Alan Bridge, Nevila Hyka-Nouspikel, Anne Morgat, Stacia R. Engel, Kalpana Karra, Stuart R. Miyasato, Robert S. Nash, Marek S. Skrzypek, Shuai Weng, Edith D. Wong, Erika Bakker, Tanya Z. Berardini, Leonore Reiser, Andrea Auchincloss, Ghislaine Argoud-Puy, Marie-Claude Blatter, Emmanuel Boutet, Lionel Breuza, Cristina Casals-Casas, Elisabeth Coudert, Anne Estreicher, Maria Livia Famiglietti, Arnaud Gos, Nadine Gruaz-Gumowski, Chantal Hulo, Florence Jungo, Philippe Le Mercier, Damien Lieberherr, Patrick Masson, Ivo Pedruzzi, Lucille Pourcel, Sylvain Poux, Catherine Rivoire, Shyamala Sundaram, Alex Bateman, Emily Bowler-Barnett, Hema Bye-A-Jee, Paul Denny, Alexandr Ignatchenko, Rizwan Ishtiaq, Antonia Lock, Yvonne Lussi, Michele Magrane, Maria J. Martin, Sandra Orchard, Pedro Raposo, Elena Speretta, Nidhi Tyagi, Kate Warner, Rossana Zaru, Alexander D. Diehl, Juancarlos Chan, Stavros Diamantakis, Daniela Raciti, Magdalena Zarowiecki, Malcolm Fisher, Christina James-Zorn, Virgilio Ponferrada, Aaron Zorn, Sridhar Ramachandran, Leyla Ruzicka, Monte Westerfield
Summary: The Gene Ontology (GO) knowledgebase is a comprehensive resource that provides information about the functions of genes and gene products. It covers a wide range of organisms and receives updates from a consortium of scientists. The knowledgebase consists of three components: GO, which describes gene functionality; GO annotations, which provide evidence-supported statements about gene products; and GO-CAMs, which are models of molecular pathways. The knowledgebase is continuously updated and reviewed, and guidance is provided to users on how to make the best use of the data.
Article
Multidisciplinary Sciences
Richard Barker, Colin P. S. Kruse, Christina Johnson, Amanda Saravia-Butler, Homer Fogle, Hyun-Seok Chang, Ralph Moller Trane, Noah Kinscherf, Alicia Villacampa, Aranzazu Manzano, Raul Herranz, Laurence B. Davin, Norman G. Lewis, Imara Perera, Chris Wolverton, Parul Gupta, Pankaj Jaiswal, Sigrid S. Reinsch, Sarah Wyatt, Simon Gilroy
Summary: This study compares transcriptomic analysis of 15 Arabidopsis thaliana spaceflight experiments in the GeneLab data repository, revealing that factors such as analysis type and environmental and hardware conditions have important effects on defining plant reactions to spaceflight. The use of a metadata matrix helps reduce complexity in drawing conclusions by selecting studies with high design similarity.
Article
Plant Sciences
Sushma Naithani, Bijayalaxmi Mohanty, Justin Elser, Peter D'Eustachio, Pankaj Jaiswal
Summary: Modeling biological processes and genetic-regulatory networks using in silico approaches is valuable for understanding how genes and variations result in specific traits. This study constructed a network of 57 transcription factors to explore gene-gene interactions in seed germination and coleoptile elongation under submergence. The network incorporates co-expression data and experimental evidence, and is publicly accessible to facilitate re-analysis of OMICs data and accelerate crop improvement.
Article
Computer Science, Artificial Intelligence
Anne E. Thessen, Laurel Cooper, Tyson L. Swetnam, Harshad Hegde, Justin Reese, Justin Elser, Pankaj Jaiswal
Summary: Climate change is already impacting ecosystems globally and requiring adaptation to meet societal needs. The rapid progression of climate change necessitates an increase in the number of species with understood genotype-environment-phenotype dynamics to enhance resilience in ecosystems and agriculture. Understanding complex gene regulatory networks in organisms is crucial for predicting phenotypes.
FRONTIERS IN ARTIFICIAL INTELLIGENCE
(2023)
Article
Genetics & Heredity
Noor Al-Bader, Austin Meier, Matthew Geniza, Yamid Sanabria Gongora, James Oard, Pankaj Jaiswal
Summary: Leaf sheath blight disease caused by Rhizoctonia solani is a major threat to rice production, leading to significant yield losses. In this study, researchers identified a gene called WAK91 that plays a crucial role in defense against this disease. A mutation in the WAK91 gene was found to affect the protein structure and phosphorylation sites, resulting in altered response to the pathogen. Analysis of different rice varieties and populations confirmed the correlation between this gene mutation and disease resistance.
Review
Biochemistry & Molecular Biology
Sushma Naithani, Cecilia H. Deng, Sunil Kumar Sahu, Pankaj Jaiswal
Summary: The development of pan-genomics enables the identification and introduction of lost genes and alleles in crops, which can improve crop yield and resistance. This offers new avenues for targeted breeding and helps mitigate the impact of global climate change.
Article
Biochemistry & Molecular Biology
Laurel Cooper, Justin Elser, Marie-Angelique Laporte, Elizabeth Arnaud, Pankaj Jaiswal
Summary: The Planteome project provides a comprehensive knowledgebase of plant genomics data and uses ontologies to organize and integrate the data. It has recently made updates to the reference ontologies and integrated crop-specific vocabularies. The project has also developed new tools to improve user experience and facilitate knowledge discovery.
NUCLEIC ACIDS RESEARCH
(2023)
Article
Biochemistry & Molecular Biology
Parul Gupta, Justin Elser, Elizabeth Hooks, Peter D'Eustachio, Pankaj Jaiswal, Sushma Naithani
Summary: Plant Reactome is a freely accessible, comprehensive plant pathway knowledgebase that provides reference pathways from rice and gene-orthology-based pathway projections to 129 additional species. Users can analyze and visualize omics data, such as gene expression, gene-gene interaction, proteome, and metabolome data.
NUCLEIC ACIDS RESEARCH
(2023)
Meeting Abstract
Horticulture
Marcela Karey Tello-Ruiz, Sharon Wei, Andrew Olson, Parul Gupta, Sushma Naithani, Kapeel Chougule, Sunita Kumari, Vivek Kumar, Peter D'Eustachio, Irene Papatheodorou, Bruno Contreras-Moreira, Pankaj Jaiswal, Doreen Ware