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RelatedMaterial
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update: {"datacite_list"=>["IsSupplementTo,IsSupplementedBy ", "IsSupplementTo,IsSupplementedBy"]}
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2024-04-18T18:23:38Z
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RelatedMaterial
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create: {"material_type"=>"Article", "availability"=>nil, "link"=>"https://doi.org/10.1186/s13015-023-00247-x", "uri"=>"10.1186/s13015-023-00247-x", "uri_type"=>"DOI", "citation"=>"Shen, C., Liu, B., Williams, K.P. et al. EMMA: a new method for computing multiple sequence alignments given a constraint subset alignment. Algorithms Mol Biol 18, 21 (2023). https://doi.org/10.1186/s13015-023-00247-x", "dataset_id"=>2574, "selected_type"=>"Article", "datacite_list"=>"IsSupplementTo", "note"=>nil, "feature"=>nil}
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2023-12-13T21:25:21Z
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RelatedMaterial
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update: {"note"=>[nil, ""], "feature"=>[nil, false]}
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2023-09-14T16:20:54Z
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Dataset
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update: {"description"=>["This upload contains one additional set of datasets (RNASim10k, ten replicates) used in Experiment 2 of the EMMA paper (appeared in WABI 2023): Shen, Chengze, Baqiao Liu, Kelly P. Williams, and Tandy Warnow. \"EMMA: A New Method for Computing Multiple Sequence Alignments given a Constraint Subset Alignment\".\r\n\r\nThe zipped file has the following structure:\r\n10k\r\n|__R0\r\n |__unaln.fas\r\n |__true.fas\r\n |__true.tre\r\n|__R1\r\n...\r\n\r\n# Alignment files:\r\n1. `unaln.fas`: all unaligned sequences.\r\n2. `true.fas`: the reference alignment of all sequences.\r\n3. `true.tre`: the reference tree on all sequences.\r\n\r\nFor other datasets that uniquely appeared in EMMA, please refer to the related dataset: Shen, Chengze; Liu, Baqiao; Williams, Kelly P.; Warnow, Tandy (2022): Datasets for EMMA: A New Method for Computing Multiple Sequence Alignments given a Constraint Subset Alignment. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2567453_V1", "This upload contains one additional set of datasets (RNASim10k, ten replicates) used in Experiment 2 of the EMMA paper (appeared in WABI 2023): Shen, Chengze, Baqiao Liu, Kelly P. Williams, and Tandy Warnow. \"EMMA: A New Method for Computing Multiple Sequence Alignments given a Constraint Subset Alignment\".\r\n\r\nThe zipped file has the following structure:\r\n10k\r\n|__R0\r\n |__unaln.fas\r\n |__true.fas\r\n |__true.tre\r\n|__R1\r\n...\r\n\r\n# Alignment files:\r\n1. `unaln.fas`: all unaligned sequences.\r\n2. `true.fas`: the reference alignment of all sequences.\r\n3. `true.tre`: the reference tree on all sequences.\r\n\r\nFor other datasets that uniquely appeared in EMMA, please refer to the related dataset (which is linked below): Shen, Chengze; Liu, Baqiao; Williams, Kelly P.; Warnow, Tandy (2022): Datasets for EMMA: A New Method for Computing Multiple Sequence Alignments given a Constraint Subset Alignment. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2567453_V1"]}
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2023-09-14T16:20:54Z
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RelatedMaterial
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create: {"material_type"=>"Dataset", "availability"=>nil, "link"=>"https://doi.org/10.13012/B2IDB-2567453_V1", "uri"=>"10.13012/B2IDB-2567453_V1", "uri_type"=>"DOI", "citation"=>"Shen, Chengze; Liu, Baqiao; Williams, Kelly P.; Warnow, Tandy (2022): Datasets for EMMA: A New Method for Computing Multiple Sequence Alignments given a Constraint Subset Alignment. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2567453_V1", "dataset_id"=>2574, "selected_type"=>"Dataset", "datacite_list"=>"IsSupplementTo,IsSupplementedBy ", "note"=>nil, "feature"=>nil}
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2023-09-14T16:20:03Z
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RelatedMaterial
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update: {"uri"=>[nil, "10.1101/2023.06.12.544642"], "uri_type"=>[nil, "DOI"], "datacite_list"=>[nil, "IsSupplementTo"], "note"=>[nil, ""], "feature"=>[nil, false]}
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2023-09-14T16:20:03Z
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Dataset
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update: {"description"=>["This upload contains one additional set of datasets (RNASim10k, ten replicates) used in Experiment 2 of the EMMA paper (appeared in WABI 2023): Shen, Chengze, Baqiao Liu, Kelly P. Williams, and Tandy Warnow. \"EMMA: A New Method for Computing Multiple Sequence Alignments given a Constraint Subset Alignment\".\r\n\r\nThe zipped file has the following structure:\r\n10k\r\n|__R0\r\n |__unaln.fas\r\n |__true.fas\r\n |__true.tre\r\n|__R1\r\n...\r\n\r\n# Alignment files:\r\n1. `unaln.fas`: all unaligned sequences.\r\n2. `true.fas`: the reference alignment of all sequences.\r\n3. `true.tre`: the reference tree on all sequences.\r\n\r\nFor other datasets that uniquely appeared in EMMA, please refer to https://databank.illinois.edu/datasets/IDB-2567453", "This upload contains one additional set of datasets (RNASim10k, ten replicates) used in Experiment 2 of the EMMA paper (appeared in WABI 2023): Shen, Chengze, Baqiao Liu, Kelly P. Williams, and Tandy Warnow. \"EMMA: A New Method for Computing Multiple Sequence Alignments given a Constraint Subset Alignment\".\r\n\r\nThe zipped file has the following structure:\r\n10k\r\n|__R0\r\n |__unaln.fas\r\n |__true.fas\r\n |__true.tre\r\n|__R1\r\n...\r\n\r\n# Alignment files:\r\n1. `unaln.fas`: all unaligned sequences.\r\n2. `true.fas`: the reference alignment of all sequences.\r\n3. `true.tre`: the reference tree on all sequences.\r\n\r\nFor other datasets that uniquely appeared in EMMA, please refer to the related dataset: Shen, Chengze; Liu, Baqiao; Williams, Kelly P.; Warnow, Tandy (2022): Datasets for EMMA: A New Method for Computing Multiple Sequence Alignments given a Constraint Subset Alignment. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-2567453_V1"], "version_comment"=>[nil, ""], "subject"=>[nil, "Technology and Engineering"]}
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2023-09-14T16:20:03Z
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