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However, most of these tools are web-based and not well-suited for large-scale genomic data analysis.Results To address this issue, we introduce 3Dmapper, a stand-alone command-line tool developed in Python and R. It systematically maps annotated protein positions and variants to protein structures, providing a solution that is both efficient and reliable.Availability and implementation https://github.com/vicruiser/3Dmapper Creator: Servigistics Arbortext Advanced Print Publisher 11.1.4667/W Producer: PDFlib+PDI 9.0.7p3 (C++/Win32); modified using iTextSharp 4.1.6 by 1T3XT CreationDate: Sat Apr 13 02:54:49 2024 CEST ModDate: Thu Oct 31 09:26:14 2024 CET Custom Metadata: yes Metadata Stream: yes Tagged: yes UserProperties: no Suspects: no Form: none JavaScript: no Pages: 5 Encrypted: no Page size: 612 x 792 pts (letter) Page rot: 0 File size: 2202772 bytes Optimized: no PDF version: 1.5 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- NAOOVK+SabonLTPro-Bold Type 1C Custom yes yes yes 111 0 HAYHED+SabonLTPro-Italic Type 1C Custom yes yes yes 20 0 JPCZWH+SabonLTPro-Roman Type 1C Custom yes yes yes 21 0 YZRNKJ+Univers-Light CID TrueType Identity-H yes yes yes 67 0 XROSZS+Univers-Bold CID TrueType Identity-H yes yes yes 487 0 UUKXLI+Univers-Condensed CID TrueType Identity-H yes yes yes 488 0 TeX_CM_Roman Type 1 Builtin yes no yes 113 0 TeX_CM_Maths_Symbols Type 1 Builtin yes no yes 23 0 GSYPDB+UniversLTStd-Bold Type 1C Custom yes yes yes 24 0 UniversLTStd-Cn Type 1 Builtin yes no yes 489 0 EOMFKI+ArialMT TrueType WinAnsi yes yes no 1 0 GHKIQU+Univers-CondensedBold CID TrueType Identity-H yes yes yes 490 0 NRGPDU+Univers-CondensedOblique CID TrueType Identity-H yes yes yes 491 0 PI_chars_3 Type 1 Builtin yes no yes 112 0 DRBROJ+Univers-Oblique CID TrueType Identity-H yes yes yes 18 0 TeX_CM_Maths_Italic Type 1 Builtin yes no yes 19 0 KXUJKD+Univers CID TrueType Identity-H yes yes yes 22 0 BSBFHC+STIXTwoMath-Regular CID TrueType Identity-H yes yes yes 25 0 FTOKIX+Univers-LightOblique CID TrueType Identity-H yes yes yes 68 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2024-11-07 02:44:32 CET RepresentationInformation: 301964.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2024-11-06 12:55:16 CET Size: 2202772 Format: PDF Version: 1.5 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf Profile: Tagged PDF PDFMetadata: Objects: 560 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: ViewerPreferences: HideToolbar: false HideMenubar: false HideWindowUI: false FitWindow: false CenterWindow: false DisplayDocTitle: true NonFullScreenPageMode: UseNone Direction: L2R ViewArea: CropBox ViewClip: CropBox PrintArea: CropBox PageClip: CropBox PageLayout: SinglePage PageMode: UseOutlines Language: en Outlines: Item: Title: Active Content List Destination: mkchap_artid Children: Item: Title: 1 Introduction Destination: mkchap4__sec Item: Title: 2 Methods Destination: mkchap5__sec Item: Title: 3 Results Destination: mkchap15__sec Item: Title: Acknowledgements Destination: mkchap16_ack1_ack Item: Title: Supplementary data Destination: mkchap16__sec Item: Title: Conflict of interest Destination: mkchap17__sec Item: Title: Funding Destination: mkchap18__sec Item: Title: References Destination: mkchap19_ref1_ref-list Info: Title: 3Dmapper: a command line tool for BioBank-scale mapping of variants to protein structures Subject: Doi: 10.1093/bioinformatics/btae171 Bioinformatics, 40, 4, 2024 Publication Date: 02/04/2024 Abstract Motivation The interpretation of genomic data is crucial to understand the molecular mechanisms of biological processes. 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Publisher 11.1.4667/W 2024-10-31T08:26:14+00:00 PDFlib+PDI 9.0.7p3 (C++/Win32); modified using iTextSharp 4.1.6 by 1T3XT 3Dmapper: a command line tool for BioBank-scale mapping of variants to protein structures Victoria Ruiz-Serra Samuel Valentini Sergi Madroñero Alfonso Valencia Eduard Porta-Pardo Doi: 10.1093/bioinformatics/btae171 Bioinformatics, 40, 4, 2024 Publication Date: 02/04/2024 Abstract Motivation The interpretation of genomic data is crucial to understand the molecular mechanisms of biological processes. Protein structures play a vital role in facilitating this interpretation by providing functional context to genetic coding variants. However, mapping genes to proteins is a tedious and error-prone task due to inconsistencies in data formats. Over the past two decades, numerous tools and databases have been developed to automatically map annotated positions and variants to protein structures. However, most of these tools are web-based and not well-suited for large-scale genomic data analysis.Results To address this issue, we introduce 3Dmapper, a stand-alone command-line tool developed in Python and R. It systematically maps annotated protein positions and variants to protein structures, providing a solution that is both efficient and reliable.Availability and implementation https://github.com/vicruiser/3Dmapper © The Author(s) 2024. 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