CoChat
Sign Up
Cited by 54

Perspective: Multiomics and machine learning help unleash the alternative food potential of microalgae

Helmy, Mohamed, Elhalis, Hosam, Liu, Yan, Chow, Yvonne, Selvarajoo, Kumar·2023·Advances in Nutrition
DOI 10.1016/j.advnut.2022.11.002PMC PMC9780023
Open this paper in CoChat — free account

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1016/j.advnut.2022.11.002

Cites

10 of 10 references verified0 citation errors · 0 not checkable

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Cites

Flagged first, then by citations

Research works printed but not linked: 111

  1. [4]Wu G. Fanzo J. Miller D.D. Pingali P. Post M. Steiner J.L. Thalacker-Mercer A.E. Production and supply of high-quality food protein for human consumption: sustainability, challenges, and innovations Ann N Y Acad Sci 1321 2014 1 19 25123207
  2. [6]Buller H. Blokhuis H. Jensen P. Keeling L. Towards farm animal welfare and sustainability Animals (Basel) 8 6 2018 81 29799456 PMC6025272
  3. [7]Webb P. Benton T.G. Beddington J. Flynn D. Kelly N.M. Thomas S.M. The urgency of food system transformation is now irrefutable Nat Food 1 2021 584 585 37128102
  4. [9]Lynch H. Johnston C. Wharton C. Plant-based diets: considerations for environmental impact, protein quality, and exercise performance Nutrients 10 2018 1841 30513704 PMC6316289
  5. [11]Bakhsh A. Lee S.J. Lee E.Y. Hwang Y.H. Joo S.T. Evaluation of rheological and sensory characteristics of plant-based meat analog with comparison to beef and pork Food Sci Anim Resour 41 2021 983 996 34796325 PMC8564321
  6. [12]Wood P. Tavan M. A review of the alternative protein industry Curr Opin Food Sci 47 2022 100869
  7. [14]Pakseresht A. Ahmadi Kaliji S. Canavari M. Review of factors affecting consumer acceptance of cultured meat Appetite 170 2022 105829 34863794
  8. [16]Jach M.E. Serefko A. Ziaja M. Kieliszek M. Yeast protein as an easily accessible food source Metabolites 12 2022 63 35050185 PMC8780597
  9. [18]Vethathirri R.S. Santillan E. Wuertz S. Microbial community-based protein production from wastewater for animal feed applications Bioresour Technol 341 2021 125723 34411939
  10. [19]Gervasi T. Pellizzeri V. Calabrese G. Di Bella G. Cicero N. Dugo G. Production of single cell protein (SCP) from food and agricultural waste by using Saccharomyces cerevisiae Nat Prod Res 32 2018 648 653 28540744
  11. [20]Salter A.M. Lopez-Viso C. Role of novel protein sources in sustainably meeting future global requirements Proc Nutr Soc 80 2021 186 194 33494845
  12. [21]World Health Organization Protein and amino acid requirements in human nutrition: report of a joint FAO/WHO/UNU expert consultation [Internet] 2007 Available from: https://apps.who.int/iris/handle/10665/43411 18330140
  13. [22]Westendorf M.L. Wohlt J.E. Brewing by-products: their use as animal feeds Vet Clin North Am Food Anim Pract 18 2002 233 252 12235659
  14. [24]Ritala A. Häkkinen S.T. Toivari M. Wiebe M.G. Single cell protein-state-of-the-art, industrial landscape and patents 2001-2016 Front Microbiol 8 2017 2009 29081772 PMC5645522
  15. [26]Klamczynska B. Mooney W.D. Heterotrophic microalgae: a scalable and sustainable protein source. Sustainable Protein Sources 2017 Academic Press 327 339
  16. [27]Barka A. Blecker C. Microalgae as a potential source of single-cell proteins [Internet] FAC UNIV SCIENCES AGRONOMIQUES GEMBLOUX A review 20 2016 427 436 Available from: https://popups.uliege.be/1780-4507 https://popups.uliege.be/1780-4507/index.php?id=13132
  17. [28]Morris H.J. Almarales A. Carrillo O. Bermúdez R.C. Utilisation of Chlorella vulgaris cell biomass for the production of enzymatic protein hydrolysates Bioresour Technol 99 2008 7723 7729 18359627
  18. [29]Wu J. Emerging sources and applications of alternative proteins: An introduction Adv Food Nutr Res 101 2022 1 15 35940701
  19. [32]Christias C. Couvaraki C. Georgopoulos S.G. Macris B. Vomvoyanni V. Protein content and amino acid composition of certain fungi evaluated for microbial protein production Appl Microbiol 29 1975 250 1115498 PMC186953
  20. [33]Yamada E.A. Sgarbieri V.C. Yeast (Saccharomyces cerevisiae) protein concentrate: preparation, chemical composition, and nutritional and functional properties J Agric Food Chem 53 2005 3931 3936 15884819
  21. [34]Matassa S. Boon N. Pikaar I. Verstraete W. Microbial protein: future sustainable food supply route with low environmental footprint Microb Biotechnol 9 2016 568 575 27389856 PMC4993174
  22. [35]Christaki E. Florou-Paneri P. Bonos E. Microalgae: a novel ingredient in nutrition Int J Food Sci Nutr 62 2011 794 799 21574818
  23. [37]De Morais M.G. Vaz B.D.S. De Morais E.G. Costa J.A.V. Biologically active metabolites synthesized by microalgae Biomed Res Int 2015 2015 PMC4538420 26339647
  24. [38]Vieira M.V. Pastrana L.M. Fuciños P. Microalgae encapsulation systems for food, pharmaceutical and cosmetics applications Mar Drugs 18 2020 644 33333921 PMC7765346
  25. [39]Chanda M. Merghoub N. El Arroussi H. Microalgae polysaccharides: the new sustainable bioactive products for the development of plant bio-stimulants? World J Microbiol Biotechnol 35 2019 31696403
  26. [40]Cuellar-Bermudez S.P. Aguilar-Hernandez I. Cardenas-Chavez D.L. Ornelas-Soto N. Romero-Ogawa M.A. Parra-Saldivar R. Extraction and purification of high-value metabolites from microalgae: essential lipids, astaxanthin and phycobiliproteins Microb Biotechnol 8 2015 190 209 25223877 PMC4353334
  27. [41]Kapoore R.V. Butler T.O. Pandhal J. Vaidyanathan S. Microwave-assisted extraction for microalgae: from biofuels to biorefinery Biology (Basel) 7 2018 1 25 PMC5872044 29462888
  28. [43]Chisti Y. Biodiesel from microalgae Biotechnol Adv 25 2007 294 306 17350212
  29. [46]Ruiz J. Álvarez P. Arbib Z. Garrido C. Barragán J. Perales J.A. Effect of nitrogen and phosphorus concentration on their removal kinetic in treated urban wastewater by Chlorella vulgaris Int J Phytoremediation 13 2011 884 896 21972511
  30. [56]M.R. Brown, L.E. Cruz-Suárez, D. Ricque-Marie, M. Tapia-Salazar, M.G. Gaxiola-Cortés, Nutritional value of microalgae for aquaculture, Handbook of Microalgal Culture: Biotechnology and Applied Phycology, 2003, pp. 380–391.
  31. [59]Becker E.W. Micro-algae as a source of protein Biotechnol Adv 25 2007 207 210 17196357
  32. [62]Tulbek M.C. Lam R.S.H. Wang Y.C. Asavajaru P. Lam A. Pea: a sustainable vegetable protein crop. Sustainable Protein Sources 2017 Academic Press 145 164
  33. [64]Jensen A. Present and future needs for algae and algal products Fourteenth International Seaweed Symposium 1993 Springer Dordrecht 15 23
  34. [66]Caruso G. Caruso G. Laganà P.L. Santi Delia A. Parisi S. Barone C. Microbial toxins and related contamination in the food industry 2015 Springer International Publishing Cham Available from http://link.springer.com/10.1007/978-3-319-20559-5 · DOI
  35. [67]Szabo N.J. Matulka R.A. Chan T. Safety evaluation of whole algalin protein (WAP) from Chlorella protothecoides Food Chem Toxicol 59 2013 34 45 23733102
  36. [68]Le T.M. Knulst A.C. Röckmann H. Anaphylaxis to Spirulina confirmed by skin prick test with ingredients of Spirulina tablets Food Chem Toxicol 74 2014 309 310 25445756
  37. [71]Fabris M. Abbriano R.M. Pernice M. Sutherland D.L. Commault A.S. Hall C.C. Emerging technologies in algal biotechnology: toward the establishment of a sustainable, algae-based bioeconomy Front Plant Sci 11 2020 279 32256509 PMC7090149
  38. [73]Kose A. Ozen M.O. Elibol M. Oncel S.S. Investigation of in vitro digestibility of dietary microalga Chlorella vulgaris and cyanobacterium Spirulina platensis as a nutritional supplement 3 Biotech 7 2017 1 7 PMC5489447 28660455
  39. [74]Ellies-Oury M.P. Cantalapiedra-Hijar G. Durand D. Gruffat D. Listrat A. Micol D. An innovative approach combining Animal Performances, nutritional value and sensory quality of meat Meat Sci 122 2016 163 172 27560645
  40. [75]Van Durme J. Goiris K. De Winne A. De Cooman L. Muylaert K. Evaluation of the volatile composition and sensory properties of five species of microalgae J Agric Food Chem 61 2013 10881 10890 24138670
  41. [76]Isleten Hosoglu M. Aroma characterization of five microalgae species using solid-phase microextraction and gas chromatography–mass spectrometry/olfactometry Food Chem 240 2018 1210 1218 28946244
  42. [78]Chen L. Liu T. Zhang W. Chen X. Wang J. Biodiesel production from algae oil high in free fatty acids by two-step catalytic conversion Bioresour Technol 111 2012 208 214 22401712
  43. [79]Andersen R.A. Algal Culturing Techniques. 1st Ed [Internet] 2004 Elsevier Amsterdam Available from: https://www.elsevier.com/books/algal-culturing-techniques/andersen/978-0-12-088426-1
  44. [80]Tedeschi R. De Paoli P. Collection and preservation of frozen microorganisms Methods Mol Biol 675 2011 313 326 20949399
  45. [81]Gorman R. Adley C.C. An evaluation of five preservation techniques and conventional freezing temperatures of −20°C and −85°C for long-term preservation of Campylobacter jejuni Lett Appl Microbiol 38 2004 306 310 15214730
  46. [83]Day J.G. Harding K. Cryopreservation of algae Plant Cryopreservation: A Practical Guide 95–116 2008 Springer New York, NY [Internet]
  47. [84]Ugwu C.U. Aoyagi H. Uchiyama H. Photobioreactors for mass cultivation of algae Bioresour Technol 99 2008 4021 4028 17379512
  48. [85]Sari Y.W. Sanders J.P.M. Bruins M. Techno-economical evaluation of protein extraction for microalgae biorefinery IOP Conference Series: Earth and Environmental Science. IOP Publishing. 31 2016 012034
  49. [86]Laurens L.M.L. Van Wychen S. McAllister J.P. Arrowsmith S. Dempster T.A. McGowen J. Strain, biochemistry, and cultivation-dependent measurement variability of algal biomass composition Anal Biochem 452 2014 86 95 24556245
  50. [87]Tan J Sen Lee S.Y. Chew K.W. Lam M.K. Lim J.W. Ho S.H. A review on microalgae cultivation and harvesting, and their biomass extraction processing using ionic liquids Bioengineered 11 2020 116 129 31909681 PMC6999644
  51. [88]Rhodes C.J. Oil from algae; salvation from peak oil? Sci Prog 92 2009 39 90 19544699 PMC10361130
  52. [89]Oey M. Sawyer A.L. Ross I.L. Hankamer B. Challenges and opportunities for hydrogen production from microalgae Plant Biotechnol J 14 2016 1487 1499 26801871 PMC5066674
  53. [90]Borowitzka M.A. Reza Moheimani N. Open pond culture systems Algae for Biofuels and Energy 2013 Springer Dordrecht 133 152
  54. [94]Shukal S. Chen X. Zhang C. Systematic engineering for high-yield production of viridiflorol and amorphadiene in auxotrophic Escherichia coli 55 2019 170 178 31326469
  55. [95]Curran K.A. Crook N.C. Karim A.S. Gupta A. Wagman A.M. Alper H.S. Design of synthetic yeast promoters via tuning of nucleosome architecture Nat Commun 5 2014 1 8 PMC4064463 24862902
  56. [96]Helmy M. Smith D. Selvarajoo K. Systems biology approaches integrated with artificial intelligence for optimized metabolic engineering Metab Eng Commun 11 2020 e00149 PMC7546651 33072513
  57. [97]Villanova V. Spetea C. Mixotrophy in diatoms: Molecular mechanism and industrial potential Physiol Plant 173 2021 603 611 34076276
  58. [98]Kumar G. Shekh A. Jakhu S. Sharma Y. Kapoor R. Sharma T.R. Bioengineering of microalgae: recent advances, perspectives, and regulatory challenges for industrial application Front Bioeng Biotechnol 8 2020 914 33014997 PMC7494788
  59. [99]Ng I.S. Tan S.I. Kao P.H. Chang Y.K. Chang J.S. Recent developments on genetic engineering of microalgae for biofuels and bio-based chemicals Biotechnol J 12 2017 28786539
  60. [101]Clough E. Barrett T. The gene expression omnibus database Methods Mol Biol 1418 2016 93 110 27008011 PMC4944384
  61. [102]Mukherjee S. Stamatis D. Bertsch J. Ovchinnikova G. Sundaramurthi J.C. Lee J. Genomes OnLine Database (GOLD) v.8: overview and updates Nucleic Acids Res 49 2021 D723 D733 33152092 PMC7778979
  62. [103]Banerjee C. Dubey K.K. Shukla P. Metabolic engineering of microalgal based biofuel production: Prospects and challenges Front Microbiol 7 2016 432 27065986 PMC4815533
  63. [104]Yu W.L. Ansari W. Schoepp N.G. Hannon M.J. Mayfield S.P. Burkart M.D. Modifications of the metabolic pathways of lipid and triacylglycerol production in microalgae Microb Cell Fact 10 2011 1 11 22047615 PMC3234195
  64. [105]Shahid A. Rehman A ur Usman M. Ashraf M.U.F. Javed M.R. Khan A.Z. Engineering the metabolic pathways of lipid biosynthesis to develop robust microalgal strains for biodiesel production Biotechnol Appl Biochem 67 2020 41 51 31486562
  65. [106]Helmy M. Gohda J. Inoue J. Tomita M. Tsuchiya M. Selvarajoo K. Predicting novel features of Toll-like receptor 3 signaling in macrophages Unutmaz D. PLoS One 4 2009 e4661 PMC2645505 19252739
  66. [107]Carbon S. Douglass E. Good B.M. Unni D.R. Harris N.L. Mungall C.J. The Gene Ontology resource: enriching a GOld mine Nucleic Acids Res 49 2021 D325 D334 33290552 PMC7779012
  67. [108]Kanehisa M. The KEGG resource for deciphering the genome Nucleic Acids Res 32 2004 277D 80 PMC308797 14681412
  68. [109]Rodchenkov I. Babur O. Luna A. Aksoy B.A. Wong J.V. Fong D. Pathway Commons 2019 Update: integration, analysis and exploration of pathway data Nucleic Acids Res 48 2020 D489 D497 31647099 PMC7145667
  69. [110]Fabregat A. Sidiropoulos K. Viteri G. Forner O. Marin-Garcia P. Arnau V. Reactome pathway analysis: a high-performance in-memory approach BMC Bioinformatics 18 2017 1 9 28249561 PMC5333408
  70. [111]Helmy M. Agrawal R. Ali J. Soudy M. Bui T.T. Selvarajoo K. GeneCloudOmics: a data analytic cloud platform for high-throughput gene expression analysis Front Bioinformatics 2021 63 0 PMC9581002 36303746
  71. [112]Longworth J. Wu D. Huete-Ortega M. Wright P.C. Vaidyanathan S. Proteome response of Phaeodactylum tricornutum, during lipid accumulation induced by nitrogen depletion Algal Res 18 2016 213 224 27812494 PMC5070409
  72. [113]Grivalský T. Ranglová K. da Câmara Manoel J.A. Lakatos G.E. Lhotský R. Masojídek J. Development of thin-layer cascades for microalgae cultivation: milestones (review) Folia Microbiol 64 2019 603 614 31359261
  73. [114]Gupta P.L. Lee S.M. Choi H.J. A mini review: photobioreactors for large scale algal cultivation World J Microbiol Biotechnol 31 2015 1409 1417 26085485
  74. [115]Geeraerd A.H. Valdramidis V.P. Van Impe J.F. GInaFiT, a freeware tool to assess non-log-linear microbial survivor curves Int J Food Microbiol 102 2005 95 105 15893399
  75. [116]Nielsen L. Rolighed M. Buehler A. Knøchel S. Wiedmann M. Marvig C. Development of predictive models evaluating the spoilage-delaying effect of a bioprotective culture on different yeast species in yogurt J Dairy Sci 104 2021 9570 9582 34127268
  76. [117]Baker D.A. Genigeorgis C. Predicting the safe storage of fresh fish under modified atmospheres with respect to Clostridium botulinum toxigenesis by modeling length of the lag phase of growth J Food Prot 53 1990 31003377
  77. [118]Genigeorgis C. Savoukidis And M. Martin S. Initiation of Staphylococcal growth in processed meat environments Appl Microbiol 21 1971 940 942 5574325 PMC377312
  78. [119]Skinner G.E. Larkin J.W. Rhodehamel E.J. Mathematical modeling of microbial growth: a review J Food Saf 14 1994 175 217
  79. [120]Ram Y. Dellus-Gur E. Bibi M. Karkare K. Obolski U. Feldman M.W. Predicting microbial growth in a mixed culture from growth curve data Proc Natl Acad Sci U S A 116 2019 14698 14707 31253703 PMC6642348
  80. [122]Lenka S.K. Carbonaro N. Park R. Miller S.M. Thorpe I. Li Y. Current advances in molecular, biochemical, and computational modeling analysis of microalgal triacylglycerol biosynthesis Biotechnol Adv 34 2016 1046 1063 27321475
  81. [123]Mata T.M. Martins A.A. Caetano N.S. Microalgae for biodiesel production and other applications: a review Renew Sustain energy Rev 14 2010 217 232
  82. [125]Blazeck J. Hill A. Liu L. Knight R. Miller J. Pan A. Harnessing Yarrowia lipolytica lipogenesis to create a platform for lipid and biofuel production Nat Commun 5 2014 1 10 24445655
  83. [126]Ledesma-Amaro R. Dulermo T. Nicaud J.M. Engineering Yarrowia lipolytica to produce biodiesel from raw starch Biotechnol Biofuels 8 2015 1 12 26379779 PMC4571081
  84. [127]Schüler L. Greque de Morais E. Trovão M. Machado A. Carvalho B. Carneiro M. Isolation and characterization of novel Chlorella vulgaris mutants with low chlorophyll and improved protein contents for food applications Front Bioeng Biotechnol 8 2020 469 32509750 PMC7248561
  85. [128]Dall’Osto L. Cazzaniga S. Guardini Z. Barera S. Benedetti M. Mannino G. Combined resistance to oxidative stress and reduced antenna size enhance light-to-biomass conversion efficiency in Chlorella vulgaris cultures Biotechnol Biofuels 12 2019 1 17 31534480 PMC6745798
  86. [129]Sankari M. Rao P.R. Hemachandran H. Pullela P.K. Doss C.G.P. Tayubi I.A. Prospects and progress in the production of valuable carotenoids: Insights from metabolic engineering, synthetic biology, and computational approaches J Biotechnol 266 2018 89 101 29247672
  87. [130]Azaman S.N.A. Wong D.C.J. Tan S.W. Yusoff F.M. Nagao N. Yeap S.K. De novo transcriptome analysis of Chlorella sorokiniana: effect of glucose assimilation, and moderate light intensity Sci Rep 10 2020 1 12 33060668 PMC7562877
  88. [131]McCarthy S.S. Kobayashi M.C. Niyogi K.K. White mutants of Chlamydomonas reinhardtii are defective in phytoene synthase Genetics 168 2004 1249 1257 15579683 PMC1448780
  89. [132]Mochida K. Koda S. Inoue K. Nishii R. Statistical and machine learning approaches to predict gene regulatory networks from transcriptome datasets Front Plant Sci 9 2018 PMC6281826 30555503
  90. [133]Anuntakarun S. Lertampaiporn S. Laomettachit T. Wattanapornprom W. Ruengjitchatchawalya M. mSRFR: a machine learning model using microalgal signature features for ncRNA classification BioData Min 15 2022 PMC8935802 35313925
  91. [134]Osterloff J. Nilssen I. Eide I. de Oliveira Figueiredo M.A. de Souza Tâmega F.T. Nattkemper T.W. Computational visual stress level analysis of calcareous algae exposed to sedimentation PLoS One 11 2016 PMC4902238 27285611
  92. [135]Asplund-Samuelsson J. Hudson E.P. Wide range of metabolic adaptations to the acquisition of the Calvin cycle revealed by comparison of microbial genomes PLoS Comput Biol 2021 17 PMC7895386 33556078
  93. [136]Lawson C.E. Martí J.M. Radivojevic T. Jonnalagadda S.V.R. Gentz R. Hillson N.J. Machine learning for metabolic engineering: A review Metab Eng 63 2021 34 60 33221420
  94. [137]Jervis A.J. Carbonell P. Vinaixa M. Dunstan M.S. Hollywood K.A. Robinson C.J. Machine learning of designed translational control allows predictive pathway optimization in Escherichia coli ACS Synth Biol 8 2019 127 136 30563328
  95. [138]Liebal U.W. Phan A.N.T. Sudhakar M. Raman K. Blank L.M. Machine learning applications for mass spectrometry-based metabolomics Metabolites 10 2020 243 32545768 PMC7345470
  96. [139]Sanchez-Lengeling B. Aspuru-Guzik A. Inverse molecular design using machine learning: Generative models for matter engineering Science 361 2018 360 365 30049875
  97. [140]Krömer J.O. Heinzle E. Schröder H. Wittmann C. Accumulation of homolanthionine and activation of a novel pathway for isoleucine biosynthesis in Corynebacterium glutamicum McbR deletion strains J Bacteriol 188 2006 609 618 16385051 PMC1347288
  98. [141]Feng X. Tang K.H. Blankenship R.E. Tang Y.J. Metabolic flux analysis of the mixotrophic metabolisms in the green sulfur bacterium Chlorobaculum tepidum J Biol Chem 285 2010 39544 39550 20937805 PMC2998096
  99. [142]Dong Q.L. Zhao X.M. Ma H.W. Xing X.Y. Sun N.X. Metabolic flux analysis of the two astaxanthin-producing microorganisms Haematococcus pluvialis and Phaffia rhodozyma in the pure and mixed cultures Biotechnol J 1 2006 1283 1292 17068750
  100. [143]Tao Y. Liu D. Yan X. Zhou Z. Lee J.K. Yang C. Network identification and flux quantification of glucose metabolism in Rhodobacter sphaeroides under photoheterotrophic H(2)-producing conditions J Bacteriol 194 2012 274 283 22056932 PMC3256653
  101. [144]Hendry J.I. Prasannan C.B. Joshi A. Dasgupta S. Wangikar P.P. Metabolic model of Synechococcus sp. PCC 7002: Prediction of flux distribution and network modification for enhanced biofuel production Bioresour Technol 213 2016 190 197 27036328
  102. [145]Minzu V. Ifrim G. Arama I. Control of microalgae growth in artificially lighted photobioreactors using metaheuristic-based predictions Sensors (Basel). 2021 21 34884070 PMC8659673
  103. [146]Nikolaou A. Bernardi A. Meneghesso A. Bezzo F. Morosinotto T. Chachuat B. A model of chlorophyll fluorescence in microalgae integrating photoproduction, photoinhibition and photoregulation J Biotechnol 194 2015 91 99 25527384
  104. [147]Kenny P. Flynn K.J. In silico optimization for production of biomass and biofuel feedstocks from microalgae J Appl Phycol 27 2015 33 48 25620851 PMC4297880
  105. [148]Xu Z. Jiang Y. Ji J. Forsberg E. Li Y. He S. Classification, identification, and growth stage estimation of microalgae based on transmission hyperspectral microscopic imaging and machine learning Opt Express 28 2020 30686 33115064
  106. [149]Luo J. Zhang H. Forsberg E. Hou S. Li S. Xu Z. Confocal hyperspectral microscopic imager for the detection and classification of individual microalgae Opt Express 29 2021 37281 34808804
  107. [150]Long B. Fischer B. Zeng Y. Amerigian Z. Li Q. Bryant H. Machine learning-informed and synthetic biology-enabled semi-continuous algal cultivation to unleash renewable fuel productivity Nat Commun 13 2022 PMC8795378 35087023
  108. [151]Fisher C.L. Lane P.D. Russell M. Maddalena R. Lane T.W. Low molecular weight volatile organic compounds indicate grazing by the marine rotifer Brachionus plicatilis on the microalgae Microchloropsis salina Metabolites 10 2020 1 20 PMC7570158 32899747
  109. [152]Thapa N. Chaudhari M. Iannetta A.A. White C. Roy K. Newman R.H. A deep learning based approach for prediction of Chlamydomonas reinhardtii phosphorylation sites Sci Rep 2021 11 34131195 PMC8206365
  110. [153]Shaker S. Morowvat M.H. Ghasemi Y. Bioinformatics analysis and identification of phytoene synthase gene in microalgae Recent Pat Biotechnol 15 2021 216 226 34254932
  111. [154]Popova L.G. Belyaev D.V. Shuvalov A.V. Yurchenko A.A. Matalin D.A. Khramov D.E. In silico analyses of transcriptomes of the marine green microalga Dunaliella tertiolecta: identification of sequences encoding P-type ATPases Mol Biol 52 2018 601 615 30113026

Cited by

Sorted by citations

Authors
Helmy, M., Elhalis, H., Liu, Y., Chow, Y., & Selvarajoo, K.
ORCID
Venue
Advances in Nutrition
Publisher
Elsevier BV
Published
2023-01
Volume
14
Issue
1
Pages
1-11
ISSN
2161-8313
DOI
10.1016/j.advnut.2022.11.002
PMC
PMC9780023
Cited by
54
References
10
Language
en
Licence
Funders
Agency for Science, Technology and Research (W20W2D0017)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review