Unveiling the Genomic Symphony: Identification Cultivar-Specific Genes and Enhanced Insights on Sweet Sorghum Genomes Through Comprehensive superTranscriptomic Analysis.
Nikhil S, Mohideen HS, Sella RN
Published: 11 September 2024
in Journal of molecular evolution
Details
Integrated transcriptomic and pathway analyses of sorghum plants revealed the molecular mechanisms of host defense against aphids.
Shrestha K, Huang J, Yan L, Doust AN, Huang Y
Published: 3 May 2024
in Frontiers in plant science
Details
Conventional and Omics Approaches for Understanding the Abiotic Stress Response in Cereal Crops-An Updated Overview.
Rakkammal K, Priya A, Pandian S, Maharajan T, Rathinapriya P, Satish L, Ceasar SA, Sohn SI, Ramesh M
Published: 12 November 2022
in Plants (Basel, Switzerland)
Details
OMICS in Fodder Crops: Applications, Challenges, and Prospects.
Kumar P, Singh J, Kaur G, Adunola PM, Biswas A, Bazzer S, Kaur H, Kaur I, Kaur H, Sandhu KS, Vemula S, Kaur B, Singh V, Tseng TM
Published: 11 November 2022
in Current issues in molecular biology
Details
PlantNexus: A Gene Co-expression Network Database and Visualization Tool for Barley and Sorghum.
Zhou Y, Sukul A, Mishler-Elmore JW, Faik A, Held MA
Published: 14 January 2022
in Plant & cell physiology
Details
Genome-Wide Transcriptome Profiling, Characterization, and Functional Identification of NAC Transcription Factors in Sorghum under Salt Stress.
Punia H, Tokas J, Malik A, Sangwan S, Rani A, Yashveer S, Alansi S, Hashim MJ, El-Sheikh MA
Published: 24 October 2021
in Antioxidants (Basel, Switzerland)
Details
Sorghum’s Whole-Plant Transcriptome and Proteome Responses to Drought Stress: A Review.
Ngara R, Goche T, Swanevelder DZH, Chivasa S
Published: 7 August 2021
in Life (Basel, Switzerland)
Details
Comparative Transcriptome Analysis Reveals Genetic Mechanisms of Sugarcane Aphid Resistance in Grain Sorghum.
Serba DD, Meng X, Schnable J, Bashir E, Michaud JP, Vara Prasad PV, Perumal R
Published: 21 July 2021
in International journal of molecular sciences
Details
Directions for research and training in plant omics: Big Questions and Big Data.
Argueso CT, Assmann SM, Birnbaum KD, Chen S, Dinneny JR, Doherty CJ, Eveland AL, Friesner J, Greenlee VR, Law JA, Marshall-Colón A, Mason GA, O'Lexy R, Peck SC, Schmitz RJ, Song L, Stern D, Varagona MJ, Walley JW, Williams CM
Published: 28 June 2019
in Plant direct
Details
Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences.
Soneson C, Love MI, Robinson MD
Published: 1 March 2016
in F1000Research
Details