Literature DB >> 29733393

CSAR-web: a web server of contig scaffolding using algebraic rearrangements.

Kun-Tze Chen1, Chin Lung Lu1.   

Abstract

CSAR-web is a web-based tool that allows the users to efficiently and accurately scaffold (i.e. order and orient) the contigs of a target draft genome based on a complete or incomplete reference genome from a related organism. It takes as input a target genome in multi-FASTA format and a reference genome in FASTA or multi-FASTA format, depending on whether the reference genome is complete or incomplete, respectively. In addition, it requires the users to choose either 'NUCmer on nucleotides' or 'PROmer on translated amino acids' for CSAR-web to identify conserved genomic markers (i.e. matched sequence regions) between the target and reference genomes, which are used by the rearrangement-based scaffolding algorithm in CSAR-web to order and orient the contigs of the target genome based on the reference genome. In the output page, CSAR-web displays its scaffolding result in a graphical mode (i.e. scalable dotplot) allowing the users to visually validate the correctness of scaffolded contigs and in a tabular mode allowing the users to view the details of scaffolds. CSAR-web is available online at http://genome.cs.nthu.edu.tw/CSAR-web.

Entities:  

Mesh:

Year:  2018        PMID: 29733393      PMCID: PMC6030906          DOI: 10.1093/nar/gky337

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  18 in total

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6.  Versatile and open software for comparing large genomes.

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8.  Projector 2: contig mapping for efficient gap-closure of prokaryotic genome sequence assemblies.

Authors:  Sacha A F T van Hijum; Aldert L Zomer; Oscar P Kuipers; Jan Kok
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9.  Reordering contigs of draft genomes using the Mauve aligner.

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  2 in total

1.  Multi-CSAR: a web server for scaffolding contigs using multiple reference genomes.

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Journal:  Nucleic Acids Res       Date:  2022-05-07       Impact factor: 19.160

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Journal:  Sci Rep       Date:  2022-05-17       Impact factor: 4.996

  2 in total

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