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Browsing by Author "Dikow, Rebecca B."

Browsing by Author "Dikow, Rebecca B."

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  • American Women's History Initiative Symposium Project first names 
    Dikow, Rebecca B. (The Smithsonian Institution, 2020)
    Dataset with top 10 traditionally "men's" and "women's" names extracted from each of 4 Smithsonian Annual Reports (1920, 1950, 1970, 1990). Names were extracted using NER in spaCy using the lg ...
  • American Women's History Initiative Symposium Project word counts 
    Dikow, Rebecca B. (The Smithsonian Institution, 2020)
    Top 100 nouns from each year of the Smithsonian Annual Reports from 1846-1999. Data were generated using the Natural Language Processing workflow in spaCy with the lg English model.
  • Another look at the phylogenetic relationships and intercontinental biogeography of eastern Asian North American <I>Rhus</I> gall aphids (Hemiptera: Aphididae: Eriosomatinae): Evidence from mitogenome sequences via genome skimming 
    Ren, Zhu-Mei; Harris, AJ; Dikow, Rebecca B.; Ma, Enbo; Zhong, Yang; Wen, Jun (2017)
    The Rhus gall aphids are sometimes referred to as subtribe Melaphidina (Aphididae: Eriosomatinae: Fordini) and comprise a unique group that forms galls on the primary host plants, Rhus. We examined the evolutionary ...
  • Application of a deep learning image classifier for identification of Amazonian fishes 
    Robillard, Alexander J.; Trizna, Michael G.; Ruiz-Tafur, Morgan; Panduro, Edgard Leonardo Davila; de Santana, C. David; White, Alexander E.; Dikow, Rebecca B.; Deichmann, Jessica L. (2023)
    Given the sharp increase in agricultural and infrastructure development and the paucity of widespread data available to support conservation management decisions, a more rapid and accurate tool for identifying fish fauna ...
  • Applications of deep convolutional neural networks to digitized natural history collections 
    Schuettpelz, Eric; Frandsen, Paul; Dikow, Rebecca B.; Brown, Abel; Orli, Sylvia S.; Peters, Melinda; Metallo, Adam; Funk, Vicki Ann; Dorr, Laurence J. (2017)
  • Augustus and Blast2GO GFF files from: Whole genome sequencing of procyonids reveals distinct demographic histories in kinkajou (Potos flavus) and northern raccoon (Procyon lotor) 
    Dikow, Rebecca B. (The Smithsonian Institution, 2020)
    GFF annotation files for both Platanus assemblies.
  • Box, stalked, and upside-down? Draft genomes from diverse jellyfish (Cnidaria, Acraspeda) lineages: <I>Alatina alata</I> (Cubozoa), <I>Calvadosia cruxmelitensis</I> (Staurozoa), and <I>Cassiopea xamachana</I> (Scyphozoa) 
    Ohdera, Aki; Ames, Cheryl L.; Dikow, Rebecca B.; Kayal, Ehsan; Chiodin, Marta; Busby, Ben; La, Sean; Pirro, Stacy; Collins, Allen G.; Medina, Mónica; Ryan, Joseph F. (2019)
    BACKGROUND: Anthozoa, Endocnidozoa, and Medusozoa are the 3 major clades of Cnidaria. Medusozoa is further divided into 4 clades, Hydrozoa, Staurozoa, Cubozoa, and Scyphozoa-the latter 3 lineages make up the clade Acraspeda. ...
  • Comparative genomics uncovers the evolutionary history, demography, and molecular adaptations of South American canids 
    Chavez, Daniel E.; Gronau, Ilan; Hains, Taylor; Dikow, Rebecca B.; Frandsen, Paul B.; Figueiró, Henrique V.; Garcez, Fabrício S.; Tchaicka, Ligia; de Paula, Rogério C.; Rodrigues, Flávio H. G.; Jorge, Rodrigo S. P.; Lima, Edson S.; Songsasen, Nucharin; Johnson, Warren E.; Eizirik, Eduardo; Koepfli, Klaus-Peter; Wayne, Robert K. (2022)
    The remarkable radiation of South American (SA) canids produced 10 extant species distributed across diverse habitats, including disparate forms such as the short-legged, hypercarnivorous bush dog and the long-legged, ...
  • Complete genome sequences provide a case study for the evaluation of gene-tree thinking 
    Dikow, Rebecca B.; Smith, William Leo (2013)
    Complete genome sequences from a genus of Gammaproteobacteria, Shewanella, are used to generate a genome-wide exploration of the gene-tree species-tree dichotomy. A number of datasets were constructed and analyses were ...
  • The Compositae Tree of Life in the age of phylogenomics 
    Mandel, Jennifer R.; Barker, Michael S.; Bayer, Randall J.; Dikow, Rebecca B.; Gao, Tian-Gang; Jones, Katy E.; Keeley, Sterling; Kilian, Norbert; Ma, Hong; Siniscalchi, Carolina M.; Susanna, Alfonso; Thapa, Ramhari; Watson, Linda; Funk, Vicki Ann (2017)
    Comprising more than 25000 species, the Sunflower Family (Compositae or Asteraceae) is the largest family of flowering plants. Many of its lineages have experienced recent and rapid radiations, and the family has a deep ...
  • Confronting Sources of Systematic Error to Resolve Historically Contentious Relationships: A Case Study Using Gadiform Fishes (Teleostei, Paracanthopterygii, Gadiformes) 
    Roa-Varón, Adela; Dikow, Rebecca B.; Carnevale, Giorgio; Tornabene, Luke; Baldwin, Carole C.; Li, Chenhong; Hilton, Eric J. (2021)
    Reliable estimation of phylogeny is central to avoid inaccuracy in downstream macroevolutionary inferences. However, limitations exist in the implementation of concatenated and summary coalescent approaches, and Bayesian ...
  • Congruent phylogenetic relationships of Melaphidina aphids (Aphididae: Eriosomatinae: Fordini) according to nuclear and mitochondrial DNA data with taxonomic implications on generic limits 
    Ren, Zhumei; von Dohlen, Carol D.; Harris, AJ; Dikow, Rebecca B.; Su, Xu; Wen, Jun (2019)
    Melaphidina aphids (Rhus-gall aphids; Eriosomatinae: Fordini) comprise five genera from eastern Asia and one monotypic genus from eastern North America. Melaphidina are unique in feeding on plant species of Rhus subgenus ...
  • Data from AWHI Symposium Funk List Project 
    Dikow, Rebecca B. (The Smithsonian Institution, 2020)
    Datasets about the scientific women on the Funk List including counts of their mentions in the Smithsonian Annual Reports, their publication count and the number of pages in each Annual Report from 1846-1999.
  • Deep learning as a tool for ecology and evolution 
    Borowiec, Marek L.; Dikow, Rebecca B.; Frandsen, Paul B.; McKeeken, Alexander; Valentini, Gabriele; White, Alexander E. (2022)
    Deep learning is driving recent advances behind many everyday technologies, including speech and image recognition, natural language processing and autonomous driving. It is also gaining popularity in biology, where it has ...
  • Dense sampling of bird diversity increases power of comparative genomics 
    Feng, Shaohong; Stiller, Josefin; Deng, Yuan; Armstrong, Joel; Fang, Qi; Reeve, Andrew Hart; Xie, Duo; Chen, Guangji; Guo, Chunxue; Faircloth, Brant C.; Petersen, Bent; Wang, Zongji; Zhou, Qi; Diekhans, Mark; Chen, Wanjun; Andreu-Sánchez, Sergio; Margaryan, Ashot; Howard, Jason Travis; Parent, Carole; Pacheco, George; Sinding, Mikkel-Holger S.; Puetz, Lara; Cavill, Emily; Ribeiro, Ângela M.; Eckhart, Leopold; Fjeldså, Jon; Hosner, Peter A.; Brumfield, Robb T.; Christidis, Les; Bertelsen, Mads F.; Sicheritz-Ponten, Thomas; Tietze, Dieter Thomas; Robertson, Bruce C.; Song, Gang; Borgia, Gerald; Claramunt, Santiago; Lovette, Irby J.; Cowen, Saul J.; Njoroge, Peter; Dumbacher, John Philip; Ryder, Oliver A.; Fuchs, Jérôme; Bunce, Michael; Burt, David W.; Cracraft, Joel; Meng, Guanliang; Hackett, Shannon J.; Ryan, Peter G.; Jønsson, Knud Andreas; Jamieson, Ian G.; da Fonseca, Rute R.; Braun, Edward L.; Houde, Peter; Mirarab, Siavash; Suh, Alexander; Hansson, Bengt; Ponnikas, Suvi; Sigeman, Hanna; Stervander, Martin; Frandsen, Paul B.; van der Zwan, Henriette; van der Sluis, Rencia; Visser, Carina; Balakrishnan, Christopher N.; Clark, Andrew G.; Fitzpatrick, John W.; Bowman, Reed; Chen, Nancy; Cloutier, Alison; Sackton, Timothy B.; Edwards, Scott V.; Foote, Dustin J.; Shakya, Subir B.; Sheldon, Frederick H.; Vignal, Alain; Soares, André E. R.; Shapiro, Beth; González-Solís, Jacob; Ferrer-Obiol, Joan; Rozas, Julio; Riutort, Marta; Tigano, Anna; Friesen, Vicki; Dalén, Love; Urrutia, Araxi O.; Székely, Tamás; Liu, Yang; Campana, Michael G.; Corvelo, André; Fleischer, Robert C.; Rutherford, Kim M.; Gemmell, Neil J.; Dussex, Nicolas; Mouritsen, Henrik; Thiele, Nadine; Delmore, Kira; Liedvogel, Miriam; Franke, Andre; Hoeppner, Marc P.; Krone, Oliver; Fudickar, Adam M.; Milá, Borja; Ketterson, Ellen D.; Fidler, Andrew Eric; Friis, Guillermo; Parody-Merino, Ángela M.; Battley, Phil F.; Cox, Murray P.; Lima, Nicholas Costa Barroso; Prosdocimi, Francisco; Parchman, Thomas Lee; Schlinger, Barney A.; Loiselle, Bette A.; Blake, John G.; Lim, Haw Chuan; Day, Lainy B.; Fuxjager, Matthew J.; Baldwin, Maude W.; Braun, Michael J.; Wirthlin, Morgan; Dikow, Rebecca B.; Ryder, T. B.; Camenisch, Glauco; Keller, Lukas F.; DaCosta, Jeffrey M.; Hauber, Mark E.; Louder, Matthew I. M.; Witt, Christopher C.; McGuire, Jimmy A.; Mudge, Joann; Megna, Libby C.; Carling, Matthew D.; Wang, Biao; Taylor, Scott A.; Del-Rio, Glaucia; Aleixo, Alexandre; Vasconcelos, Ana Tereza Ribeiro; Mello, Claudio V.; Weir, Jason T.; Haussler, David; Li, Qiye; Yang, Huanming; Wang, Jian; Lei, Fumin; Rahbek, Carsten; Gilbert, M. T.; Graves, Gary R.; Jarvis, Erich D.; Paten, Benedict; Zhang, Guojie (2020)
    Whole-genome sequencing projects are increasingly populating the tree of life and characterizing biodiversity1–4. Sparse taxon sampling has previously been proposed to confound phylogenetic inference5, and captures only a ...
  • Developing integrative systematics in the informatics and genomic era, and calling for a global Biodiversity Cyberbank 
    Wen, Jun; Harris, AJ; Ickert-Bond, Stefanie; Dikow, Rebecca B.; Wurdack, Kenneth J.; Zimmer, Elizabeth Anne (2017)
    Systematics is the science of discovering, organizing and interpreting the diversity of all living organisms. Recent developments in genomics and biodiversity informatics are transforming systematics and have opened up ...
  • Developing responsible AI practices at the Smithsonian Institution 
    Dikow, Rebecca B.; DiPietro, Corey; Trizna, Michael G.; BredenbeckCorp, Hanna; Bursell, Madeline; Ekwealor, Jenna T. B.; Hodel, Richard; Lopez, Nilda; Mattingly, William; Munro, Jeremy; Naples, Richard M.; Oubre, Candace; Robarge, Drew; Snyder, Sara C.; Spillane, Jennifer; Tomerlin, Melinda Jane; Villanueva, Luis; White, Alexander (2023)
    Applications of artificial intelligence (AI) and machine learning (ML) have become pervasive in our everyday lives. These applications range from the mundane (asking ChatGPT to write a thank you note) to high-end science ...
  • Draft Genome Assemblies and Annotations of Agrypnia vestita Walker, and Hesperophylax magnus Banks Reveal Substantial Repetitive Element Expansion in Tube Case-Making Caddisflies (Insecta: Trichoptera) 
    Olsen, Lindsey K.; Heckenhauer, Jacqueline; Sproul, John S.; Dikow, Rebecca B.; González, Vanessa L.; Kweskin, Matthew P.; Taylor, Adam M.; Wilson, Seth B.; Stewart, Russell J.; Zhou, Xin; Holzenthal, Ralph; Pauls, Steffen U.; Frandsen, Paul B. (2021)
    Trichoptera (caddisflies) play an essential role in freshwater ecosystems; for instance, larvae process organic material from the water and are food for a variety of predators. Knowledge on the genomic diversity of caddisflies ...
  • An empirical assessment of a single family-wide hybrid capture locus set at multiple evolutionary timescales in Asteraceae 
    Jones, Katy E.; Fér, Tomáš; Schmickl, Roswitha E.; Dikow, Rebecca B.; Funk, Vicki Ann; Herrando-Moraira, Sonia; Johnston, Paul R.; Kilian, Norbert; Siniscalchi, Carolina M.; Susanna, Alfonso; Slovák, Marek; Thapa, Ramhari; Watson, Linda E.; Mandel, Jennifer R. (2019)
    Premise Hybrid capture with high-throughput sequencing (Hyb-Seq) is a powerful tool for evolutionary studies. The applicability of an Asteraceae family-specific Hyb-Seq probe set and the outcomes of different phylogenetic ...
  • Fern Segmentation pickle file 
    Dikow, Rebecca B. (2020)

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