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ccPDB (Compilation and Creation of datasets from PDB) is a collection of commonly used data sets for structural or functional annotation of proteins. Datasets from literature and the Protein Data Bank (PDB) were incorporated into ccPDB to facilitate the analysis and organisation of additional dataset collections by the researcher.
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PASS2 contains alignments of structural motifs of protein superfamilies. PASS2 is an automatic version of the original superfamily alignment database, CAMPASS (CAMbridge database of Protein Alignments organised as Structural Superfamilies). PASS2 contains alignments of protein structures at the superfamily level and is in direct correspondence with SCOPe 2.04 release.
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The Banana Breeding Tracker Database (BBTbase) is a database of banana breeding information and allows users to input data from multiple stages in banana crop production, including hybridization, seed extraction, culturing, and hardening. This database also provides quick responsive (QR) codes for labelling. BBTbase has been developed at ICAR-NRCB to monitor banana breeding programs.
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Model Zoo curates and provides a platform for deep learning researchers to easily find pre-trained models for a variety of platforms and uses.
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PASS2 contains alignments of structural motifs of protein superfamilies. PASS2 is an automatic version of the original superfamily alignment database, CAMPASS (CAMbridge database of Protein Alignments organised as Structural Superfamilies). PASS2 contains alignments of protein structures at the superfamily level and is in direct correspondence with SCOPe 2.04 release.
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The Banana Breeding Tracker Database (BBTbase) is a database of banana breeding information and allows users to input data from multiple stages in banana crop production, including hybridization, seed extraction, culturing, and hardening. This database also provides quick responsive (QR) codes for labelling. BBTbase has been developed at ICAR-NRCB to monitor banana breeding programs.
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Model Zoo curates and provides a platform for deep learning researchers to easily find pre-trained models for a variety of platforms and uses.
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