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81 to 90 of 45,405 Results
Sfam13_09_60sim.graphml
Dec 1, 2021 - GraphML files for sequence networks of PETases and PURases
GraphML Network Data - 16.2 KB - MD5: e93342540254b2c25b2826343947b22b
Protein sequence network for PURase homologues from LED superfamily 13. Edges were selected at a threshold of 60% pairwise sequence identity.
PET_09_tcoffee.aln
Dec 1, 2021 - Profile hidden Markov model for PETase homologues
Unknown - 7.2 KB - MD5: e81a1a25f3e79e189a048e1a04756cbc
Multiple sequence alignment in Clustal format.
PET_09_tcoffee.hmm
Dec 1, 2021 - Profile hidden Markov model for PETase homologues
Unknown - 122.2 KB - MD5: 7fa623dde96d25f2919f75b497b2f657
Profile hidden Markov model in HMMER3 format
PET_09_tcoffee.sto
Dec 1, 2021 - Profile hidden Markov model for PETase homologues
Unknown - 6.1 KB - MD5: 7e6f4be4289d0fb3371ac4e777be14e9
Multiple sequence alignment in Stockholm format with reference columns: The trimmed alignment region is marked by an 'x' in lines starting with #=GC RF
Templates.tab
Dec 1, 2021 - Profile hidden Markov model for PETase homologues
Tabular Data - 255 B - 3 Variables, 12 Observations - UNF:6:AEjnqfOrnimO5Q2xFDkQDw==
Uniprot identifiers, PDB identifiers, and PDB chains used for the structure-guided multiple sequence alignment by T-COFFEE
4streamgraph.js
Dec 1, 2021 - Data for: A Comparative Study of Visualizations for Multiple Time Series
Javascript Code - 6.3 KB - MD5: 0f48291d815a75b4972620453756cb07
4timeSeries.js
Dec 1, 2021 - Data for: A Comparative Study of Visualizations for Multiple Time Series
Javascript Code - 49 B - MD5: 2d85e6ff9d06930018a30fb2265c7ba2
4TS10.tab
Dec 1, 2021 - Data for: A Comparative Study of Visualizations for Multiple Time Series
Tabular Data - 384 B - 5 Variables, 30 Observations - UNF:6:PF65NM3w+goa9UH4cPnFMQ==
4TS11.tab
Dec 1, 2021 - Data for: A Comparative Study of Visualizations for Multiple Time Series
Tabular Data - 413 B - 5 Variables, 30 Observations - UNF:6:eE3Y3kZYNsOFiC/x2t8lEQ==
4TS12.tab
Dec 1, 2021 - Data for: A Comparative Study of Visualizations for Multiple Time Series
Tabular Data - 389 B - 5 Variables, 30 Observations - UNF:6:hwbpamfhqmnAF4Mc5R4Y1g==
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