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The MongoDB for the ANalysis of Transcription factor (TF)-binding site (TFBS) Alterations (MANTA) was originally created in 2015 to study the impact of regulatory mutations in B-cell lymphomas (Mathelier et al. 2015). This second release of the database, MANTA2, stores TFBSs predicted in the human genome by combining ChIP-seq regions from ReMap and JASPAR profiles, as well as the potential impact scores for all possible single nucleotide variants (SNVs) at these TFBSs. Specifically, it houses >48 million TFBS predictions for 225 TFs, covering 255,918,025 bp (~8%) of the human genome (hg38). Here we provide a MongoDB dump of MANTA2 comprising the files experiments.bson, experiments.metadata.json, system.indexes.bson, tfbs_snvs.bson, and tfbs_snvs.metadata.json.
The MANTA2 source code is deposited in GitHub (https://github.com/wassermanlab/MANTA2). Instructions on the installation and usage of MANTA2 are also provided in the GitHub repository. The MANTA2 database can also be accessed via a dedicated web server at http://manta.cmmt.ubc.ca/manta2. Please cite: Fornes, O. et al. MANTA2, update of the Mongo database for the analysis of transcription factor binding site alterations. Sci. Data 5:180141 doi: 10.1038/sdata.2018.141 (2018).
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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