Institute of Biochemistry

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231 to 240 of 1,510 Results

readme-1.pdf 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" Adobe PDF - 104.6 KB - MD5: 1fa8ecab0ba68b617138a98d90160ffc Description of the data structure
source_data.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 - 736.2 KB - MD5: ddd9a622dbb5638621ca557e01fc4ec2
Supplementary_Table_S1.tab 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" Tabular Data - 53.3 KB - 8 Variables, 1106 Observations - UNF:6:bSvQoJxvb+T/iyQGPOvTBA== Assignment of experiments and data files and overview of the number of reads in CSV format
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
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

readme-1.pdf

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"

Adobe PDF - 104.6 KB -

Description of the data structure

source_data.xlsx

MS Excel Spreadsheet - 736.2 KB -

Supplementary_Table_S1.tab

Tabular Data - 53.3 KB - 8 Variables, 1106 Observations -

Assignment of experiments and data files and overview of the number of reads in CSV format

Supplementary Table S1.xlsx

MS Excel Spreadsheet - 56.4 KB -

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