Institute of Biochemistry

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501 to 510 of 1,834 Results

Supplementary Table S1.xlsx Jan 13, 2025 - NGS data related to Sogl et al. "Systematic analysis of specificities and flanking sequence preferences of bacterial DNA-(cytosine C5)-methyltransferases reveals mechanisms of enzyme- and sequence-specific DNA readout" MS Excel Spreadsheet - 56.4 KB - MD5: a3df4453d1eb9612fabd87027482cfbe Assignment of experiments and data files and overview of the number of reads
Data related to Panzer: A Machine Learning Based Approach to Analyze Supersecondary Structures of Proteins Nov 27, 2024 Panzer, Tim, 2024, "Data related to Panzer: A Machine Learning Based Approach to Analyze Supersecondary Structures of Proteins", https://doi.org/10.18419/DARUS-4576, DaRUS, V1 This entry contains the data used to implement the bachelor thesis. It was investigated how embeddings can be used to analyze supersecondary structures. Abstract of the thesis: This thesis analyzes the behavior of supersecondary structures in the context of embeddings. For this purpose, data from the Protein Topology Graph Library was provided with...
1_data_retrival.ipynb Nov 27, 2024 - Data related to Panzer: A Machine Learning Based Approach to Analyze Supersecondary Structures of Proteins Jupyter Notebook - 3.5 KB - MD5: 5aed17f7e8f45b9c585d0fdfc2d3abe1
2_data_storage_and_embeddings.ipynb Nov 27, 2024 - Data related to Panzer: A Machine Learning Based Approach to Analyze Supersecondary Structures of Proteins Jupyter Notebook - 32.7 KB - MD5: 23d1c66d472cef8df61d1b4af946e138
3_data_science.ipynb Nov 27, 2024 - Data related to Panzer: A Machine Learning Based Approach to Analyze Supersecondary Structures of Proteins Jupyter Notebook - 15.3 KB - MD5: c9d86d81c81d45f0e504062f1a790448
fastas.zip Nov 27, 2024 - Data related to Panzer: A Machine Learning Based Approach to Analyze Supersecondary Structures of Proteins ZIP Archive - 222.7 MB - MD5: fff77ced43a39c8357ea141bd0b9fda8 DATA
graph_files.zip Nov 27, 2024 - Data related to Panzer: A Machine Learning Based Approach to Analyze Supersecondary Structures of Proteins ZIP Archive - 716.3 MB - MD5: ea8239d7f45d0b77460e1e953edb73cf DATA
pyeed_BT.zip Nov 27, 2024 - Data related to Panzer: A Machine Learning Based Approach to Analyze Supersecondary Structures of Proteins ZIP Archive - 1.5 MB - MD5: abbf5ecb34f1c87e08aafab4c96cdb12
sequence_embeddings_random_seqs.h5 Nov 27, 2024 - Data related to Panzer: A Machine Learning Based Approach to Analyze Supersecondary Structures of Proteins Plain Text - 217.0 MB - MD5: 8c2e24535dd2364974dbf0b0d929672c DATA
sequence_embeddings_secs.h5 Nov 27, 2024 - Data related to Panzer: A Machine Learning Based Approach to Analyze Supersecondary Structures of Proteins Plain Text - 11.8 GB - MD5: 485539ee436e914262f2d0440390b4f0 DATA

Supplementary Table S1.xlsx

Jan 13, 2025 - NGS data related to Sogl et al. "Systematic analysis of specificities and flanking sequence preferences of bacterial DNA-(cytosine C5)-methyltransferases reveals mechanisms of enzyme- and sequence-specific DNA readout"

MS Excel Spreadsheet - 56.4 KB -

Assignment of experiments and data files and overview of the number of reads

Data related to Panzer: A Machine Learning Based Approach to Analyze Supersecondary Structures of Proteins

Nov 27, 2024

Panzer, Tim, 2024, "Data related to Panzer: A Machine Learning Based Approach to Analyze Supersecondary Structures of Proteins", https://doi.org/10.18419/DARUS-4576, DaRUS, V1

This entry contains the data used to implement the bachelor thesis. It was investigated how embeddings can be used to analyze supersecondary structures. Abstract of the thesis: This thesis analyzes the behavior of supersecondary structures in the context of embeddings. For this purpose, data from the Protein Topology Graph Library was provided with...

1_data_retrival.ipynb

Nov 27, 2024 - Data related to Panzer: A Machine Learning Based Approach to Analyze Supersecondary Structures of Proteins

Jupyter Notebook - 3.5 KB -

2_data_storage_and_embeddings.ipynb

Nov 27, 2024 - Data related to Panzer: A Machine Learning Based Approach to Analyze Supersecondary Structures of Proteins

Jupyter Notebook - 32.7 KB -

3_data_science.ipynb

Nov 27, 2024 - Data related to Panzer: A Machine Learning Based Approach to Analyze Supersecondary Structures of Proteins

Jupyter Notebook - 15.3 KB -

fastas.zip

Nov 27, 2024 - Data related to Panzer: A Machine Learning Based Approach to Analyze Supersecondary Structures of Proteins

ZIP Archive - 222.7 MB -