Skip navigation
DSpace logo
  • Home
  • Browse
    • SMD
      & Institutes
    • Browse Items by:
    • Published/ Complete Date
    • Author/ PI/CoPI
    • Title
    • Keyword (Publication)
  • Sign on to:
    • My KRISHI
    • Receive email
      updates
    • Edit Profile
ICAR logo

KRISHI

ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)


  1. KRISHI Publication and Data Inventory Repository
  2. Agricultural Education A1
  3. ICAR-Indian Agricultural Statistics Research Institute B7
  4. AEdu-IASRI-Publication
"Not Available": Please do not remove the default option "Not Available" for the fields where metadata information is not available
"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item: http://krishi.icar.gov.in/jspui/handle/123456789/47430
Full metadata record
DC FieldValueLanguage
dc.contributor.authorShashi Bhushan Lalen_US
dc.contributor.authorAnu Sharmaen_US
dc.contributor.authorSanjeev Kumaren_US
dc.contributor.authorDwijesh Chandra Mishraen_US
dc.contributor.authorNeeraj Budhlakotien_US
dc.date.accessioned2021-06-26T04:10:10Z-
dc.date.available2021-06-26T04:10:10Z-
dc.date.issued2019-11-10-
dc.identifier.citationNot Availableen_US
dc.identifier.issnNot Available-
dc.identifier.urihttp://krishi.icar.gov.in/jspui/handle/123456789/47430-
dc.descriptionNot Availableen_US
dc.description.abstractCurrent de-novo assemblers are unable to effectively use the long-read sequencing data generated by present single-molecule sequencing technologies primarily because of the considerable error rate. In this project, both long and short reads have been required for efficient assembly results. The error correction on long reads were performed by aligning short reads over long reads to get reduced errors on the long reads and use them for assembly. Our approach exploits this technology by complementing it with shorter, high-identity sequences resulting in long, accurate transcripts and improved assemblies. The result of our hybrid approach is higher quality assemblies with fewer errors and gaps, which will drive down the expensive cost of genome finishing and enable more accurate downstream analyses. High-quality assemblies are critical for all aspects of genomics, especially genome annotation and comparative genomics. It is clear that higher-quality assemblies, with long unbroken contigs, will have a positive impact on a wide range of disciplines.This way, it is noticed that high error rates do not become a barrier to genome assembly. Higherror, long reads can be efficiently assembled in combination with complementary short-reads to produce assemblies not possible with any prior technology, bringing us one step closer to the goal of “one chromosome, one contig.” The rapid turnaround time possible with PacBio and other technologies, such as Ion Torrent, can make it possible to produce high-quality genome assemblies at a fraction of the time once required.Many tools in bioinformatics run on parallelized computational infrastructure for getting results in a comparatively less time because of heavy computational algorithms or job sizes involved. In this work, the parallelized tools installed on supercomputing infrastructure were utilized for faster results. The genome assembly is carried out in a pipeline form and running tools on HPC environment. This study was undertaken with the objectives to create a web-based software for various components of assembly namely – pre-processing, alignment for error correction, long read assembly and scaffolding. The software has been developed using JSP, Java, HTML and CSS. This software does a series of computations for all the steps involved. These computations are done on ASHOKA supercomputing system to get the faster results. The results are shown to the user on the browser which can also be downloaded to the client’s local hard disk.en_US
dc.description.sponsorshipNot Availableen_US
dc.language.isoEnglishen_US
dc.publisherNot Availableen_US
dc.relation.ispartofseriesNot Available;-
dc.subjectASHOKAen_US
dc.subjectGenome Assemblyen_US
dc.subjectOLCen_US
dc.titleDevelopment of an Improved Hybrid De-novo Whole Genome Assembleren_US
dc.title.alternativeNot Availableen_US
dc.typeProject Reporten_US
dc.publication.projectcodeAGENIASRISIL201700087en_US
dc.publication.journalnameNot Availableen_US
dc.publication.volumenoNot Availableen_US
dc.publication.pagenumber1-51en_US
dc.publication.divisionUnitNot Availableen_US
dc.publication.sourceUrlNot Availableen_US
dc.publication.authorAffiliationICAR::Indian Agricultural Statistics Research Instituteen_US
dc.ICARdataUseLicencehttp://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdfen_US
dc.publication.naasratingNot Available-
Appears in Collections:AEdu-IASRI-Publication

Files in This Item:
File Description SizeFormat 
ProjectReport_GenomeAssembly.pdf3.31 MBAdobe PDFView/Open
Show simple item record


Items in KRISHI are protected by copyright, with all rights reserved, unless otherwise indicated.

  File Downloads  

Jul 2022: 2038 Jun 2022: 106240 May 2022: 97531 Apr 2022: 94186 Mar 2022: 96096 Feb 2022: 93736

Total Download
2817790

(Also includes document to fetched through computer programme by other sites)
( From May 2017 )

ICAR Data Use Licence
Disclaimer
©  2016 All Rights Reserved  • 
Indian Council of Agricultural Research
Krishi Bhavan, Dr. Rajendra Prasad Road, New Delhi-110 001. INDIA

INDEXED BY

KRISHI: Inter Portal Harvester

DOAR
Theme by Logo CINECA Reports

DSpace Software Copyright © 2002-2013  Duraspace - Feedback