Multi-omics approaches to disease by Yehudit Hasin, Marcus Seldin, Aldons Lusis

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Dissecting apoptosis the omics way by Petra Van Damme

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Predictors of obesity: the "power" of the omics by José María Ordovás Muñoz

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Advances in Omics Technologies in GBM by Uday B Maachani, Uma Shankavaram, Kevin Camphausen, Anita Tandle

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Omics for deciphering oral microecology by Yongwang Lin, Xiaoyue Liang, Zhengyi Li, Tao Gong, Biao Ren, Yuqing Li, Xian Peng

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Wheat Omics: Advancements and Opportunities by Deepmala Sehgal, Priyanka Dhakate, Heena Ambreen, Khasim Hussain Baji Shaik, Nagenahalli Dharmegowda Rathan, Nayanahalli Munireddy Anusha, Rupesh Deshmukh, Prashant Vikram

Subjects: “…omics…”
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Omics Approaches in Pancreatic Adenocarcinoma by Iranzu González-Borja, Antonio Viúdez, Saioa Goñi, Enrique Santamaria, Estefania Carrasco-García, Jairo Pérez-Sanz, Irene Hernández-García, Pablo Sala-Elarre, Virginia Arrazubi, Esther Oyaga-Iriarte, Ruth Zárate, Sara Arévalo, Onintza Sayar, Ruth Vera, Joaquin Fernández-Irigoyen

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The Potential of Omics in Biological Dosimetry by Daniela Hladik, Martin Bucher, David Endesfelder, Ursula Oestreicher

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Quantifying Periodicity in Omics Data by Cornelia eAmariei, Masaru eTomita, Douglas B Murray

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Editorial: Omics and Fish Nutrition by Kang-le Lu, Samad Rahimnejad, Song-lin Li

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Editorial: Perspectives in omics 2022 by Sophie Ayciriex, Sophie Ayciriex

Subjects: “…omics…”
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Phytochemical Omics in Medicinal Plants by Jen-Tsung Chen

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Editorial: Plant-microbe omics by Kim K. Hixson, Kim K. Hixson, Amit Dhingra, Francisco Dini-Andreote, Mitchel J. Doktycz, Timothy J. Tschaplinski, Ljiljana Paša-Tolić

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Meta’omics: Challenges and Applications by Valerio Fulci

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Understanding Mucormycoses in the Age of “omics” by Alexandra Y. Soare, Alexandra Y. Soare, Tonya N. Watkins, Vincent M. Bruno, Vincent M. Bruno

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Prostate cancer in omics era by Nasrin Gholami, Amin Haghparast, Iraj Alipourfard, Majid Nazari

“…The availability of multi-omic data has transformed medicine and biology by enabling integrated systems-level approaches. …”
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‘Omics’ Approaches for Crop Improvement by Andrés J. Cortés, María Ángeles Castillejo, Roxana Yockteng

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Computational solutions for omics data by Berger, Bonnie, Peng, Jian, Singh, Mona

“…In this Review, we sample the algorithmic landscape, focusing on state-of-the-art techniques, the understanding of which will aid the bench biologist in analysing omics data. We spotlight specific examples that have facilitated and enriched analyses of sequence, transcriptomic and network data sets.…”
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Megascience. 'Omics data sharing. by Field, D, Sansone, S, Collis, A, Booth, T, Dukes, P, Gregurick, S, Kennedy, K, Kolar, P, Kolker, E, Maxon, M, Millard, S, Mugabushaka, A, Perrin, N, Remacle, J, Remington, K, Rocca-Serra, P, Taylor, C, Thorley, M, Tiwari, B, Wilbanks, J

Multi-omics analysis of adipogenesis by Arroyo, V

“…Here, two classes of unsupervised learning methods were used to investigate which of these phenotypes were most strongly associated with differences in omics data between human adipocytes. Data consisted of two omics data types, including RNA- Sequencing (RNA-Seq) and Adipocyte Profiling (AP), as well as nine pa- tient phenotypes: day, depot, sex, age, body-mass index, Type 2 diabetes status, mean cell area, cell area variance, and % small cells. …”