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Resource Name
RRID:SCR_023945 RRID Copied      
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LRTK (RRID:SCR_023945)
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Resource Information

URL: https://github.com/ericcombiolab/LRTK

Proper Citation: LRTK (RRID:SCR_023945)

Description: Software toolkit for analyzing linked-read sequencing data. Used to process human and metagenomic linked read sequencing data from different linked read sequencing technologies, including 10x Genomics, single tube long fragment read and transposase enzyme linked long read sequencing. LRTK provides functions to perform read cloud assembly, barcode aware read alignment, reconstruction of long DNA fragments, taxonomic classification and quantification, and genomic variant calling and phasing. LRTK also has the ability to perform automatic analysis from raw sequencing data to downstream analysis and support analysis of multiple samples in parallel. Can produce publication ready visualizations and generates reproducible reports, summarizing key parameters at multiple checkpoints such as library preparation.

Abbreviations: LRTK

Synonyms: Linked-Read ToolKit (LRTK), Linked-Read ToolKit

Resource Type: software resource, software toolkit

Defining Citation: DOI:10.1101/2022.08.10.503458

Keywords: analyzing linked-read sequencing data, raw sequencing data analysis and visualization, process human and metagenomic linked read sequencing data, perform read cloud assembly, barcode aware read alignment, reconstruction of long DNA fragments, taxonomic classification and quantification, genomic variant calling and phasing,

Availability: Free, Available for download, Freely available

Resource Name: LRTK

Resource ID: SCR_023945

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Data and Source Information

Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400