Name  MSBioGraphs – MSA200 
URL  https://blogs.qub.ac.uk/DIPSA/MSBioGraphsMSA200 
Download Link  https://dx.doi.org/10.21227/gmd91534 
Script for Downloading All Files  https://blogs.qub.ac.uk/DIPSA/MSBioGraphsonIEEEDataPort/ 
Validating and Sample Code  https://blogs.qub.ac.uk/DIPSA/MSBioGraphsValidation/ 
Graph Explanation  Vertices represent proteins and each edge represents the sequence similarity between its two endpoints 
Edge Weighted  Yes 
Directed  Yes 
Number of Vertices  1,757,323,526 
Number of Edges  500,444,322,597 
Maximum InDegree  658,879 
Maximum OutDegree  709,176 
Minimum Weight  98 
Maximum Weight  634,925 
Number of Zero InDegree Vertices  6,437,984 
Number of Zero OutDegree Vertices  7,471,315 
Average InDegree  285.8 
Average OutDegree  286.0 
Size of The Largest Weakly Connected Component  496,880,685,957 
Number of Weakly Connected Components  221,467,156 
Creation Details  MSBioGraphs: Sequency Similarity Graph Datasets 
Format  WebGraph 
License  CC BYNCSA 
QUB IDF  2223052 
DOI  10.5281/zenodo.7820815 
Citation  Mohsen Koohi Esfahani, Sebastiano Vigna, Paolo Boldi, Hans Vandierendonck, Peter Kilpatrick, March 13, 2024, "MSBioGraphs: TrillionScale Sequence Similarity Graph Datasets", IEEE Dataport, doi: https://dx.doi.org/10.21227/gmd91534. 
Bibtex  @data{gmd9153424, doi = {10.21227/gmd91534}, url = {https://dx.doi.org/10.21227/gmd91534}, author = {Koohi Esfahani, Mohsen and Vigna, Sebastiano and Boldi, Paolo and Vandierendonck, Hans and Kilpatrick, Peter}, publisher = {IEEE Dataport}, title = {MSBioGraphs: TrillionScale Sequence Similarity Graph Datasets}, year = {2024} } 
Files
Underlying Graph 
The underlying graph in WebGraph format:
These files are validated using ‘Edge Blocks SHAs File’ as follows. 
Weights (Labels) 
The weights of the graph in WebGraph format:
These files are validated using ‘Edge Blocks SHAs File’ as follows. 
Edge Blocks SHAs File (Text) 
This file contains the shasums of edge blocks where each block contains
64 Million continuous edges and has one shasum for its 64M endpoints and
one for its 64M edge weights. The file is used to validate the underlying graph and the weights. For further explanation about validation process, please visit the https://blogs.qub.ac.uk/DIPSA/MSBioGraphsValidation.

Offsets (Binary) 
The offsets array of the CSX (Compressed Sparse Rows/Columns) graph in binary
format and little endian order. It consists of V+1 8Bytes elements. The first and last values are 0 and E, respectively. This array helps converting the graph (or parts of it) from WebGraph format to binary format by one pass over (related) edges.

WCC (Binary) 
The WeaklyConnected Compontent (WCC) array in binary format and little endian order. This array consists of V 4Bytes elements The vertices in the same component have the same values in the WCC array.

Transposed’s Offsets (Binary) 
The offsets array of the transposed graph in binary format and little endian order.
It consists of V+1 8Bytes elements. The first and last values are 0 and E, respectively. It helps to transpose the graph by performing one pass over edges.

Names (tar.gz) 
This compressed file contains 120 files in CSV format using ‘;’ as the separator.
Each row has two columns: ID of vertex and name of the sequence. Note: If the graph has a ‘N2O Reordering’ file, the n2o array should be used to convert the vertex ID to old vertex ID which is used for identifying name of the protein in the `names.tar.gz` file.

OJSON 
The charactersitics of the graph and shasums of the files. It is in the open json format and needs a closing brace (}) to be appended before being passed to a json parser.

Plots
For the explanation about the plots, please refer to the MSBioGraphs paper.
To have a better resolution, please click on the images.
Related Posts
 MSBioGraphs on IEEE DataPort
 ParaGrapher Source Code For WebGraph Types
 On Overcoming HPC Challenges of TrillionScale RealWorld Graph Datasets – BigData’23 (Short Paper)
 Dataset Announcement: MSBioGraphs, TrillionScale Public RealWorld Sequence Similarity Graphs – IISWC’23 (Poster)
 MSBioGraphs: Sequence Similarity Graph Datasets
 MSBioGraphs MS
 MSBioGraphs MSA500
 MSBioGraphs MS200
 MSBioGraphs MSA200
 MSBioGraphs MS50
 MSBioGraphs MSA50
 MSBioGraphs MSA10
 MSBioGraphs MS1
 MSBioGraphs Validation