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William S. Sanders
Researcher at Mississippi State University
Publications - 16
Citations - 1375
William S. Sanders is an academic researcher from Mississippi State University. The author has contributed to research in topics: Gossypium & Rotylenchulus reniformis. The author has an hindex of 8, co-authored 15 publications receiving 1161 citations.
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Journal ArticleDOI
Repeated polyploidization of Gossypium genomes and the evolution of spinnable cotton fibres
Andrew H. Paterson,Jonathan F. Wendel,Heidrun Gundlach,Hui Guo,Jerry Jenkins,Dianchuan Jin,Danny J. Llewellyn,Kurtis C. Showmaker,Shengqiang Shu,Joshua A. Udall,Mi-Jeong Yoo,Robert L. Byers,Wei Chen,Adi Doron-Faigenboim,Mary V. Duke,Lei Gong,Jane Grimwood,Corrinne E. Grover,Kara Grupp,Guanjing Hu,Tae-Ho Lee,Jingping Li,Lifeng Lin,Tao Liu,Barry S. Marler,Justin T. Page,Alison W. Roberts,Elisson Romanel,William S. Sanders,Emmanuel Szadkowski,Xu Tan,Haibao Tang,Haibao Tang,Chunming Xu,Chunming Xu,Jinpeng Wang,Zining Wang,Dong Zhang,Lan Zhang,Hamid Ashrafi,Frank Bedon,John E. Bowers,Curt L. Brubaker,Curt L. Brubaker,Peng W. Chee,Sayan Das,Alan R. Gingle,Candace H. Haigler,David B. Harker,Lucia Vieira Hoffmann,Ran Hovav,Don C. Jones,Cornelia Lemke,Shahid Mansoor,Shahid Mansoor,Mehboob-ur Rahman,Lisa N. Rainville,Aditi Rambani,Umesh K. Reddy,Junkang Rong,Yehoshua Saranga,Brian E. Scheffler,Jodi A. Scheffler,David M. Stelly,Barbara A. Triplett,Allen Van Deynze,Maite F S Vaslin,V. N. Waghmare,Sally A. Walford,Robert J. Wright,Essam A. Zaki,Tianzhen Zhang,Elizabeth S. Dennis,Klaus F. X. Mayer,Daniel G. Peterson,Daniel S. Rokhsar,Xiyin Wang,Jeremy Schmutz +77 more
TL;DR: It is shown that an abrupt five- to sixfold ploidy increase approximately 60 million years (Myr) ago, and allopolyploidy reuniting divergent Gossypium genomes approximately 1–2 Myr ago, conferred about 30–36-fold duplication of ancestral angiosperm genes in elite cottons, genetic complexity equalled only by Brassica among sequenced angiosperms.
Journal ArticleDOI
Prediction of cell penetrating peptides by support vector machines.
TL;DR: This work has investigated the influence of the composition of training datasets on the ability to classify peptides as cell penetrating using support vector machines (SVMs) and found that SVM based classifiers have greater classification accuracy than previously reported methods for the prediction of CPPs.
Journal ArticleDOI
Prediction of peptides observable by mass spectrometry applied at the experimental set level.
TL;DR: A methodology for constructing artificial neural networks that can be used to predict which peptides are potentially observable for a given set of experimental, instrumental, and analytical conditions for 2D LC MS/MS datasets and demonstrates the utility of predicted peptide observability for systems analysis.
Journal ArticleDOI
The Proteogenomic Mapping Tool
William S. Sanders,Nan Wang,Susan M. Bridges,Brandon Malone,Yoginder S. Dandass,Fiona M. McCarthy,Bindu Nanduri,Mark L. Lawrence,Shane C. Burgess +8 more
TL;DR: The Proteogenomic Mapping Tool includes a Java implementation of the Aho-Corasick string searching algorithm which takes as input standardized file types and rapidly searches experimentally observed peptides against a given genome translated in all 6 reading frames for exact matches.
Journal ArticleDOI
Independent Domestication of Two Old World Cotton Species
Simon Renny-Byfield,Simon Renny-Byfield,Justin T. Page,Joshua A. Udall,William S. Sanders,Daniel G. Peterson,Mark A. Arick,Corrinne E. Grover,Jonathan F. Wendel +8 more
TL;DR: It is demonstrated that, despite negligible divergence in genome size, the two domesticated diploid cotton species contain different, but compensatory, repeat content and have thus experienced cryptic alterations in repeat abundance despite equivalence in genome sizes.