BIS-CATTLE: A Web Server for Breed Identification using Microsatellite DNA Markers Article Swipe
Sarika Jaiswal
,
Sandeep Kumar Dhanda
,
Mir Asif Iquebal
,
Vasu Arora
,
Tejas M. Shah
,
U. B. Angadi
,
Chaitanya G. Joshi
,
Gajendra P. S. Raghava
,
Anil Rai
,
V. Dinesh Kumar
·
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.3844/ajbsp.2016.10.17
YOU?
·
· 2016
· Open Access
·
· DOI: https://doi.org/10.3844/ajbsp.2016.10.17
Domestic cow, Bos taurus is one of the important species selected by humans for various traits, viz. milk yield, meat quality, draft ability, resistance to disease and pests and social and religious reasons. Since cattle domestication from Neolithic (8,000-10,000 years ago) today the population has reached 1.5 billion and further it’s likely to be 2.6 billion by 2050. High magnitude of numbers, breed management, market need of traceability of breed product, conservation prioritization and IPR issues due to germplasm flow/exchange, has created a critical need for accurate and rapid breed identification. Since ages the defined breed descriptors has been used in identification of breed but due to lack of phenotypic description especially in ova, semen, embryos and breed products molecular approach is indispensable. Further the degree of admixture and non-descript animals characterization, needs of molecular approach is imperative. Till date breed identification methods based on molecular data analysis has great limitations like lack of reference data availability and need of computational expertise. To overcome these challenges we developed a web server for maintaining reference data and facility for breed identification. The reference data used for developing prediction model were obtained from8 cattle breeds and 18 microsatellite DNA markers yielding 18000 allele data. In this study various algorithms were used for reducing number of loci or for identification of important loci. Minimization up to 5 loci was achieved using memory-based learning algorithm without compromising with accuracy of 95%. This model approach and methodology can play immense role in all domestic animal species across globe in breed identification and conservation programme. This can also be modelled even for all flora and fauna to identify their respective variety or breed needed in germplasm management.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3844/ajbsp.2016.10.17
- http://thescipub.com/pdf/10.3844/ajbsp.2016.10.17
- OA Status
- diamond
- Cited By
- 2
- References
- 39
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2296635859
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2296635859Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3844/ajbsp.2016.10.17Digital Object Identifier
- Title
-
BIS-CATTLE: A Web Server for Breed Identification using Microsatellite DNA MarkersWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2016Year of publication
- Publication date
-
2016-01-01Full publication date if available
- Authors
-
Sarika Jaiswal, Sandeep Kumar Dhanda, Mir Asif Iquebal, Vasu Arora, Tejas M. Shah, U. B. Angadi, Chaitanya G. Joshi, Gajendra P. S. Raghava, Anil Rai, V. Dinesh KumarList of authors in order
- Landing page
-
https://doi.org/10.3844/ajbsp.2016.10.17Publisher landing page
- PDF URL
-
https://thescipub.com/pdf/10.3844/ajbsp.2016.10.17Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://thescipub.com/pdf/10.3844/ajbsp.2016.10.17Direct OA link when available
- Concepts
-
Breed, Germplasm, Identification (biology), Traceability, Domestication, Microsatellite, Biology, Biotechnology, Allele, Genetics, Statistics, Agronomy, Ecology, Mathematics, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2019: 1Per-year citation counts (last 5 years)
- References (count)
-
39Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W2296635859 |
|---|---|
| doi | https://doi.org/10.3844/ajbsp.2016.10.17 |
| ids.doi | https://doi.org/10.3844/ajbsp.2016.10.17 |
| ids.mag | 2296635859 |
| ids.openalex | https://openalex.org/W2296635859 |
| fwci | 0.17332617 |
| type | article |
| title | BIS-CATTLE: A Web Server for Breed Identification using Microsatellite DNA Markers |
| biblio.issue | 1 |
| biblio.volume | 5 |
| biblio.last_page | 17 |
| biblio.first_page | 10 |
| topics[0].id | https://openalex.org/T12388 |
| topics[0].field.id | https://openalex.org/fields/13 |
| topics[0].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[0].score | 0.9991000294685364 |
| topics[0].domain.id | https://openalex.org/domains/1 |
| topics[0].domain.display_name | Life Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/1312 |
| topics[0].subfield.display_name | Molecular Biology |
| topics[0].display_name | Identification and Quantification in Food |
| topics[1].id | https://openalex.org/T10594 |
| topics[1].field.id | https://openalex.org/fields/13 |
| topics[1].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[1].score | 0.9987000226974487 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1311 |
| topics[1].subfield.display_name | Genetics |
| topics[1].display_name | Genetic and phenotypic traits in livestock |
| topics[2].id | https://openalex.org/T10012 |
| topics[2].field.id | https://openalex.org/fields/13 |
| topics[2].field.display_name | Biochemistry, Genetics and Molecular Biology |
| topics[2].score | 0.9918000102043152 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1311 |
| topics[2].subfield.display_name | Genetics |
| topics[2].display_name | Genetic diversity and population structure |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C2776482104 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8870904445648193 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q38829 |
| concepts[0].display_name | Breed |
| concepts[1].id | https://openalex.org/C2777461220 |
| concepts[1].level | 2 |
| concepts[1].score | 0.7396549582481384 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q589029 |
| concepts[1].display_name | Germplasm |
| concepts[2].id | https://openalex.org/C116834253 |
| concepts[2].level | 2 |
| concepts[2].score | 0.6286256313323975 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q2039217 |
| concepts[2].display_name | Identification (biology) |
| concepts[3].id | https://openalex.org/C153876917 |
| concepts[3].level | 2 |
| concepts[3].score | 0.6170732975006104 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q899704 |
| concepts[3].display_name | Traceability |
| concepts[4].id | https://openalex.org/C134387633 |
| concepts[4].level | 2 |
| concepts[4].score | 0.5951295495033264 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q11395 |
| concepts[4].display_name | Domestication |
| concepts[5].id | https://openalex.org/C61320498 |
| concepts[5].level | 4 |
| concepts[5].score | 0.5031301379203796 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q265193 |
| concepts[5].display_name | Microsatellite |
| concepts[6].id | https://openalex.org/C86803240 |
| concepts[6].level | 0 |
| concepts[6].score | 0.4974201023578644 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[6].display_name | Biology |
| concepts[7].id | https://openalex.org/C150903083 |
| concepts[7].level | 1 |
| concepts[7].score | 0.4581024944782257 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q7108 |
| concepts[7].display_name | Biotechnology |
| concepts[8].id | https://openalex.org/C180754005 |
| concepts[8].level | 3 |
| concepts[8].score | 0.25211405754089355 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q80726 |
| concepts[8].display_name | Allele |
| concepts[9].id | https://openalex.org/C54355233 |
| concepts[9].level | 1 |
| concepts[9].score | 0.2379644811153412 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q7162 |
| concepts[9].display_name | Genetics |
| concepts[10].id | https://openalex.org/C105795698 |
| concepts[10].level | 1 |
| concepts[10].score | 0.14439138770103455 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q12483 |
| concepts[10].display_name | Statistics |
| concepts[11].id | https://openalex.org/C6557445 |
| concepts[11].level | 1 |
| concepts[11].score | 0.12908676266670227 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q173113 |
| concepts[11].display_name | Agronomy |
| concepts[12].id | https://openalex.org/C18903297 |
| concepts[12].level | 1 |
| concepts[12].score | 0.11403772234916687 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q7150 |
| concepts[12].display_name | Ecology |
| concepts[13].id | https://openalex.org/C33923547 |
| concepts[13].level | 0 |
| concepts[13].score | 0.11121046543121338 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[13].display_name | Mathematics |
| concepts[14].id | https://openalex.org/C104317684 |
| concepts[14].level | 2 |
| concepts[14].score | 0.0 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q7187 |
| concepts[14].display_name | Gene |
| keywords[0].id | https://openalex.org/keywords/breed |
| keywords[0].score | 0.8870904445648193 |
| keywords[0].display_name | Breed |
| keywords[1].id | https://openalex.org/keywords/germplasm |
| keywords[1].score | 0.7396549582481384 |
| keywords[1].display_name | Germplasm |
| keywords[2].id | https://openalex.org/keywords/identification |
| keywords[2].score | 0.6286256313323975 |
| keywords[2].display_name | Identification (biology) |
| keywords[3].id | https://openalex.org/keywords/traceability |
| keywords[3].score | 0.6170732975006104 |
| keywords[3].display_name | Traceability |
| keywords[4].id | https://openalex.org/keywords/domestication |
| keywords[4].score | 0.5951295495033264 |
| keywords[4].display_name | Domestication |
| keywords[5].id | https://openalex.org/keywords/microsatellite |
| keywords[5].score | 0.5031301379203796 |
| keywords[5].display_name | Microsatellite |
| keywords[6].id | https://openalex.org/keywords/biology |
| keywords[6].score | 0.4974201023578644 |
| keywords[6].display_name | Biology |
| keywords[7].id | https://openalex.org/keywords/biotechnology |
| keywords[7].score | 0.4581024944782257 |
| keywords[7].display_name | Biotechnology |
| keywords[8].id | https://openalex.org/keywords/allele |
| keywords[8].score | 0.25211405754089355 |
| keywords[8].display_name | Allele |
| keywords[9].id | https://openalex.org/keywords/genetics |
| keywords[9].score | 0.2379644811153412 |
| keywords[9].display_name | Genetics |
| keywords[10].id | https://openalex.org/keywords/statistics |
| keywords[10].score | 0.14439138770103455 |
| keywords[10].display_name | Statistics |
| keywords[11].id | https://openalex.org/keywords/agronomy |
| keywords[11].score | 0.12908676266670227 |
| keywords[11].display_name | Agronomy |
| keywords[12].id | https://openalex.org/keywords/ecology |
| keywords[12].score | 0.11403772234916687 |
| keywords[12].display_name | Ecology |
| keywords[13].id | https://openalex.org/keywords/mathematics |
| keywords[13].score | 0.11121046543121338 |
| keywords[13].display_name | Mathematics |
| language | en |
| locations[0].id | doi:10.3844/ajbsp.2016.10.17 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4210167934 |
| locations[0].source.issn | 1948-9862, 1948-9870 |
| locations[0].source.type | journal |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | 1948-9862 |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Current Research in Bioinformatics |
| locations[0].source.host_organization | |
| locations[0].source.host_organization_name | |
| locations[0].license | cc-by |
| locations[0].pdf_url | http://thescipub.com/pdf/10.3844/ajbsp.2016.10.17 |
| locations[0].version | publishedVersion |
| locations[0].raw_type | journal-article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | True |
| locations[0].raw_source_name | American Journal of Bioinformatics |
| locations[0].landing_page_url | https://doi.org/10.3844/ajbsp.2016.10.17 |
| locations[1].id | pmh:oai:thescipub.com:ajbsp.2016.10.17 |
| locations[1].is_oa | True |
| locations[1].source.id | https://openalex.org/S4306400310 |
| locations[1].source.issn | |
| locations[1].source.type | repository |
| locations[1].source.is_oa | False |
| locations[1].source.issn_l | |
| locations[1].source.is_core | False |
| locations[1].source.is_in_doaj | False |
| locations[1].source.display_name | American Journal of Applied Sciences (Multimedia University) |
| locations[1].source.host_organization | https://openalex.org/I173029219 |
| locations[1].source.host_organization_name | Multimedia University |
| locations[1].source.host_organization_lineage | https://openalex.org/I173029219 |
| locations[1].license | cc-by |
| locations[1].pdf_url | |
| locations[1].version | submittedVersion |
| locations[1].raw_type | Research Article |
| locations[1].license_id | https://openalex.org/licenses/cc-by |
| locations[1].is_accepted | False |
| locations[1].is_published | False |
| locations[1].raw_source_name | |
| locations[1].landing_page_url | http://dx.doi.org/10.3844/ajbsp.2016.10.17 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5030265774 |
| authorships[0].author.orcid | https://orcid.org/0000-0002-9948-4994 |
| authorships[0].author.display_name | Sarika Jaiswal |
| authorships[0].countries | IN |
| authorships[0].affiliations[0].institution_ids | https://openalex.org/I4210147764 |
| authorships[0].affiliations[0].raw_affiliation_string | Bioinformatics Centre, CSIR-Institute of Microbial Technology, Chandigarh 160036, India |
| authorships[0].institutions[0].id | https://openalex.org/I4210147764 |
| authorships[0].institutions[0].ror | https://ror.org/055rjs771 |
| authorships[0].institutions[0].type | facility |
| authorships[0].institutions[0].lineage | https://openalex.org/I2799351866, https://openalex.org/I4210134808, https://openalex.org/I4210147764, https://openalex.org/I66760702 |
| authorships[0].institutions[0].country_code | IN |
| authorships[0].institutions[0].display_name | Institute of Microbial Technology |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Sarika Jaiswal |
| authorships[0].is_corresponding | False |
| authorships[0].raw_affiliation_strings | Bioinformatics Centre, CSIR-Institute of Microbial Technology, Chandigarh 160036, India |
| authorships[1].author.id | https://openalex.org/A5067192427 |
| authorships[1].author.orcid | https://orcid.org/0000-0003-1381-7434 |
| authorships[1].author.display_name | Sandeep Kumar Dhanda |
| authorships[1].countries | IN |
| authorships[1].affiliations[0].institution_ids | https://openalex.org/I1141210 |
| authorships[1].affiliations[0].raw_affiliation_string | Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi 110012, India |
| authorships[1].institutions[0].id | https://openalex.org/I1141210 |
| authorships[1].institutions[0].ror | https://ror.org/03kkevc75 |
| authorships[1].institutions[0].type | facility |
| authorships[1].institutions[0].lineage | https://openalex.org/I1141210, https://openalex.org/I179420787 |
| authorships[1].institutions[0].country_code | IN |
| authorships[1].institutions[0].display_name | Indian Agricultural Statistics Research Institute |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Sandeep Kumar Dhanda |
| authorships[1].is_corresponding | False |
| authorships[1].raw_affiliation_strings | Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi 110012, India |
| authorships[2].author.id | https://openalex.org/A5081736625 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-3787-5997 |
| authorships[2].author.display_name | Mir Asif Iquebal |
| authorships[2].countries | IN |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I1141210 |
| authorships[2].affiliations[0].raw_affiliation_string | Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi 110012, India |
| authorships[2].institutions[0].id | https://openalex.org/I1141210 |
| authorships[2].institutions[0].ror | https://ror.org/03kkevc75 |
| authorships[2].institutions[0].type | facility |
| authorships[2].institutions[0].lineage | https://openalex.org/I1141210, https://openalex.org/I179420787 |
| authorships[2].institutions[0].country_code | IN |
| authorships[2].institutions[0].display_name | Indian Agricultural Statistics Research Institute |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | M. A. Iquebal |
| authorships[2].is_corresponding | False |
| authorships[2].raw_affiliation_strings | Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi 110012, India |
| authorships[3].author.id | https://openalex.org/A5014202860 |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | Vasu Arora |
| authorships[3].countries | IN |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I34750443 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Animal Biotechnology, College of Veterinary Science & Animal Husbandry, Anand Agricultural University, Anand 388 001, Gujarat, India |
| authorships[3].institutions[0].id | https://openalex.org/I34750443 |
| authorships[3].institutions[0].ror | https://ror.org/050qxn185 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I34750443 |
| authorships[3].institutions[0].country_code | IN |
| authorships[3].institutions[0].display_name | Anand Agricultural University |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Vasu Arora |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Animal Biotechnology, College of Veterinary Science & Animal Husbandry, Anand Agricultural University, Anand 388 001, Gujarat, India |
| authorships[4].author.id | https://openalex.org/A5107094961 |
| authorships[4].author.orcid | https://orcid.org/0009-0006-9707-2642 |
| authorships[4].author.display_name | Tejas M. Shah |
| authorships[4].countries | IN |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I1141210 |
| authorships[4].affiliations[0].raw_affiliation_string | Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi 110012, India |
| authorships[4].institutions[0].id | https://openalex.org/I1141210 |
| authorships[4].institutions[0].ror | https://ror.org/03kkevc75 |
| authorships[4].institutions[0].type | facility |
| authorships[4].institutions[0].lineage | https://openalex.org/I1141210, https://openalex.org/I179420787 |
| authorships[4].institutions[0].country_code | IN |
| authorships[4].institutions[0].display_name | Indian Agricultural Statistics Research Institute |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Tejas M. Shah |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi 110012, India |
| authorships[5].author.id | https://openalex.org/A5036143033 |
| authorships[5].author.orcid | https://orcid.org/0000-0003-0012-0179 |
| authorships[5].author.display_name | U. B. Angadi |
| authorships[5].countries | IN |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I34750443 |
| authorships[5].affiliations[0].raw_affiliation_string | Department of Animal Biotechnology, College of Veterinary Science & Animal Husbandry, Anand Agricultural University, Anand 388 001, Gujarat, India |
| authorships[5].institutions[0].id | https://openalex.org/I34750443 |
| authorships[5].institutions[0].ror | https://ror.org/050qxn185 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I34750443 |
| authorships[5].institutions[0].country_code | IN |
| authorships[5].institutions[0].display_name | Anand Agricultural University |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | U. B. Angadi |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Department of Animal Biotechnology, College of Veterinary Science & Animal Husbandry, Anand Agricultural University, Anand 388 001, Gujarat, India |
| authorships[6].author.id | https://openalex.org/A5058215874 |
| authorships[6].author.orcid | https://orcid.org/0000-0003-4680-2861 |
| authorships[6].author.display_name | Chaitanya G. Joshi |
| authorships[6].countries | IN |
| authorships[6].affiliations[0].institution_ids | https://openalex.org/I4210147764 |
| authorships[6].affiliations[0].raw_affiliation_string | Bioinformatics Centre, CSIR-Institute of Microbial Technology, Chandigarh 160036, India |
| authorships[6].institutions[0].id | https://openalex.org/I4210147764 |
| authorships[6].institutions[0].ror | https://ror.org/055rjs771 |
| authorships[6].institutions[0].type | facility |
| authorships[6].institutions[0].lineage | https://openalex.org/I2799351866, https://openalex.org/I4210134808, https://openalex.org/I4210147764, https://openalex.org/I66760702 |
| authorships[6].institutions[0].country_code | IN |
| authorships[6].institutions[0].display_name | Institute of Microbial Technology |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Chaitanya G. Joshi |
| authorships[6].is_corresponding | False |
| authorships[6].raw_affiliation_strings | Bioinformatics Centre, CSIR-Institute of Microbial Technology, Chandigarh 160036, India |
| authorships[7].author.id | https://openalex.org/A5051938893 |
| authorships[7].author.orcid | https://orcid.org/0000-0002-8902-2876 |
| authorships[7].author.display_name | Gajendra P. S. Raghava |
| authorships[7].countries | IN |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I1141210 |
| authorships[7].affiliations[0].raw_affiliation_string | Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi 110012, India |
| authorships[7].institutions[0].id | https://openalex.org/I1141210 |
| authorships[7].institutions[0].ror | https://ror.org/03kkevc75 |
| authorships[7].institutions[0].type | facility |
| authorships[7].institutions[0].lineage | https://openalex.org/I1141210, https://openalex.org/I179420787 |
| authorships[7].institutions[0].country_code | IN |
| authorships[7].institutions[0].display_name | Indian Agricultural Statistics Research Institute |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Gajendra P.S. Raghava |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi 110012, India |
| authorships[8].author.id | https://openalex.org/A5060634406 |
| authorships[8].author.orcid | https://orcid.org/0000-0003-4454-6462 |
| authorships[8].author.display_name | Anil Rai |
| authorships[8].countries | IN |
| authorships[8].affiliations[0].institution_ids | https://openalex.org/I1141210 |
| authorships[8].affiliations[0].raw_affiliation_string | Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi 110012, India |
| authorships[8].institutions[0].id | https://openalex.org/I1141210 |
| authorships[8].institutions[0].ror | https://ror.org/03kkevc75 |
| authorships[8].institutions[0].type | facility |
| authorships[8].institutions[0].lineage | https://openalex.org/I1141210, https://openalex.org/I179420787 |
| authorships[8].institutions[0].country_code | IN |
| authorships[8].institutions[0].display_name | Indian Agricultural Statistics Research Institute |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Anil Rai |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi 110012, India |
| authorships[9].author.id | https://openalex.org/A5014118368 |
| authorships[9].author.orcid | https://orcid.org/0000-0001-5381-7995 |
| authorships[9].author.display_name | V. Dinesh Kumar |
| authorships[9].countries | IN |
| authorships[9].affiliations[0].institution_ids | https://openalex.org/I1141210 |
| authorships[9].affiliations[0].raw_affiliation_string | Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi 110012, India |
| authorships[9].institutions[0].id | https://openalex.org/I1141210 |
| authorships[9].institutions[0].ror | https://ror.org/03kkevc75 |
| authorships[9].institutions[0].type | facility |
| authorships[9].institutions[0].lineage | https://openalex.org/I1141210, https://openalex.org/I179420787 |
| authorships[9].institutions[0].country_code | IN |
| authorships[9].institutions[0].display_name | Indian Agricultural Statistics Research Institute |
| authorships[9].author_position | last |
| authorships[9].raw_author_name | Dinesh Kumar |
| authorships[9].is_corresponding | True |
| authorships[9].raw_affiliation_strings | Centre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, Library Avenue, PUSA, New Delhi 110012, India |
| has_content.pdf | True |
| has_content.grobid_xml | True |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | http://thescipub.com/pdf/10.3844/ajbsp.2016.10.17 |
| open_access.oa_status | diamond |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | BIS-CATTLE: A Web Server for Breed Identification using Microsatellite DNA Markers |
| has_fulltext | True |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T12388 |
| primary_topic.field.id | https://openalex.org/fields/13 |
| primary_topic.field.display_name | Biochemistry, Genetics and Molecular Biology |
| primary_topic.score | 0.9991000294685364 |
| primary_topic.domain.id | https://openalex.org/domains/1 |
| primary_topic.domain.display_name | Life Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/1312 |
| primary_topic.subfield.display_name | Molecular Biology |
| primary_topic.display_name | Identification and Quantification in Food |
| related_works | https://openalex.org/W2153696549, https://openalex.org/W2084160489, https://openalex.org/W4206001110, https://openalex.org/W3195678672, https://openalex.org/W2351833475, https://openalex.org/W2785596416, https://openalex.org/W3134153936, https://openalex.org/W2390522107, https://openalex.org/W1910920621, https://openalex.org/W2040323831 |
| cited_by_count | 2 |
| counts_by_year[0].year | 2025 |
| counts_by_year[0].cited_by_count | 1 |
| counts_by_year[1].year | 2019 |
| counts_by_year[1].cited_by_count | 1 |
| locations_count | 2 |
| best_oa_location.id | doi:10.3844/ajbsp.2016.10.17 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4210167934 |
| best_oa_location.source.issn | 1948-9862, 1948-9870 |
| best_oa_location.source.type | journal |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | 1948-9862 |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Current Research in Bioinformatics |
| best_oa_location.source.host_organization | |
| best_oa_location.source.host_organization_name | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | http://thescipub.com/pdf/10.3844/ajbsp.2016.10.17 |
| best_oa_location.version | publishedVersion |
| best_oa_location.raw_type | journal-article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | True |
| best_oa_location.raw_source_name | American Journal of Bioinformatics |
| best_oa_location.landing_page_url | https://doi.org/10.3844/ajbsp.2016.10.17 |
| primary_location.id | doi:10.3844/ajbsp.2016.10.17 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4210167934 |
| primary_location.source.issn | 1948-9862, 1948-9870 |
| primary_location.source.type | journal |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | 1948-9862 |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Current Research in Bioinformatics |
| primary_location.source.host_organization | |
| primary_location.source.host_organization_name | |
| primary_location.license | cc-by |
| primary_location.pdf_url | http://thescipub.com/pdf/10.3844/ajbsp.2016.10.17 |
| primary_location.version | publishedVersion |
| primary_location.raw_type | journal-article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | True |
| primary_location.raw_source_name | American Journal of Bioinformatics |
| primary_location.landing_page_url | https://doi.org/10.3844/ajbsp.2016.10.17 |
| publication_date | 2016-01-01 |
| publication_year | 2016 |
| referenced_works | https://openalex.org/W4244238212, https://openalex.org/W1592654124, https://openalex.org/W2107151511, https://openalex.org/W2122290510, https://openalex.org/W2022535746, https://openalex.org/W1976029697, https://openalex.org/W1886329524, https://openalex.org/W4242221364, https://openalex.org/W1563088657, https://openalex.org/W2021098202, https://openalex.org/W2016456497, https://openalex.org/W2004141604, https://openalex.org/W1978826040, https://openalex.org/W2794253813, https://openalex.org/W2033618873, https://openalex.org/W2014781107, https://openalex.org/W1974961815, https://openalex.org/W2133379615, https://openalex.org/W7073971201, https://openalex.org/W1983673893, https://openalex.org/W1994212721, https://openalex.org/W195462802, https://openalex.org/W2105418117, https://openalex.org/W2165189112, https://openalex.org/W1971748981, https://openalex.org/W1978892743, https://openalex.org/W6683581212, https://openalex.org/W4231311503, https://openalex.org/W3113209268, https://openalex.org/W4230674625, https://openalex.org/W2274429382, https://openalex.org/W1828364361, https://openalex.org/W1528620860, https://openalex.org/W1997476591, https://openalex.org/W1912236649, https://openalex.org/W2156909104, https://openalex.org/W4285719527, https://openalex.org/W2117928668, https://openalex.org/W1548715626 |
| referenced_works_count | 39 |
| abstract_inverted_index.5 | 223 |
| abstract_inverted_index.a | 82, 168 |
| abstract_inverted_index.18 | 194 |
| abstract_inverted_index.In | 202 |
| abstract_inverted_index.To | 162 |
| abstract_inverted_index.be | 53, 262 |
| abstract_inverted_index.by | 11, 56 |
| abstract_inverted_index.in | 100, 112, 246, 253, 278 |
| abstract_inverted_index.is | 4, 121, 136 |
| abstract_inverted_index.of | 6, 60, 66, 68, 102, 108, 126, 133, 153, 159, 212, 217, 235 |
| abstract_inverted_index.on | 144 |
| abstract_inverted_index.or | 214, 275 |
| abstract_inverted_index.to | 24, 52, 77, 106, 222, 270 |
| abstract_inverted_index.up | 221 |
| abstract_inverted_index.we | 166 |
| abstract_inverted_index.1.5 | 46 |
| abstract_inverted_index.2.6 | 54 |
| abstract_inverted_index.DNA | 196 |
| abstract_inverted_index.IPR | 74 |
| abstract_inverted_index.The | 180 |
| abstract_inverted_index.all | 247, 266 |
| abstract_inverted_index.and | 26, 28, 30, 48, 73, 87, 116, 128, 157, 175, 193, 240, 256, 268 |
| abstract_inverted_index.but | 104 |
| abstract_inverted_index.can | 242, 260 |
| abstract_inverted_index.due | 76, 105 |
| abstract_inverted_index.for | 13, 85, 171, 177, 184, 209, 215, 265 |
| abstract_inverted_index.has | 44, 80, 97, 148 |
| abstract_inverted_index.one | 5 |
| abstract_inverted_index.the | 7, 42, 93, 124 |
| abstract_inverted_index.was | 225 |
| abstract_inverted_index.web | 169 |
| abstract_inverted_index.95%. | 236 |
| abstract_inverted_index.High | 58 |
| abstract_inverted_index.This | 237, 259 |
| abstract_inverted_index.Till | 138 |
| abstract_inverted_index.ages | 92 |
| abstract_inverted_index.ago) | 40 |
| abstract_inverted_index.also | 261 |
| abstract_inverted_index.been | 98 |
| abstract_inverted_index.cow, | 1 |
| abstract_inverted_index.data | 146, 155, 174, 182 |
| abstract_inverted_index.date | 139 |
| abstract_inverted_index.even | 264 |
| abstract_inverted_index.from | 36 |
| abstract_inverted_index.lack | 107, 152 |
| abstract_inverted_index.like | 151 |
| abstract_inverted_index.loci | 213, 224 |
| abstract_inverted_index.meat | 19 |
| abstract_inverted_index.milk | 17 |
| abstract_inverted_index.need | 65, 84, 158 |
| abstract_inverted_index.ova, | 113 |
| abstract_inverted_index.play | 243 |
| abstract_inverted_index.role | 245 |
| abstract_inverted_index.this | 203 |
| abstract_inverted_index.used | 99, 183, 208 |
| abstract_inverted_index.viz. | 16 |
| abstract_inverted_index.were | 188, 207 |
| abstract_inverted_index.with | 233 |
| abstract_inverted_index.18000 | 199 |
| abstract_inverted_index.2050. | 57 |
| abstract_inverted_index.Since | 33, 91 |
| abstract_inverted_index.based | 143 |
| abstract_inverted_index.breed | 62, 69, 89, 95, 103, 117, 140, 178, 254, 276 |
| abstract_inverted_index.data. | 201 |
| abstract_inverted_index.draft | 21 |
| abstract_inverted_index.fauna | 269 |
| abstract_inverted_index.flora | 267 |
| abstract_inverted_index.from8 | 190 |
| abstract_inverted_index.globe | 252 |
| abstract_inverted_index.great | 149 |
| abstract_inverted_index.loci. | 219 |
| abstract_inverted_index.model | 187, 238 |
| abstract_inverted_index.needs | 132 |
| abstract_inverted_index.pests | 27 |
| abstract_inverted_index.rapid | 88 |
| abstract_inverted_index.study | 204 |
| abstract_inverted_index.their | 272 |
| abstract_inverted_index.these | 164 |
| abstract_inverted_index.today | 41 |
| abstract_inverted_index.using | 227 |
| abstract_inverted_index.years | 39 |
| abstract_inverted_index.across | 251 |
| abstract_inverted_index.allele | 200 |
| abstract_inverted_index.animal | 249 |
| abstract_inverted_index.breeds | 192 |
| abstract_inverted_index.cattle | 34, 191 |
| abstract_inverted_index.degree | 125 |
| abstract_inverted_index.humans | 12 |
| abstract_inverted_index.issues | 75 |
| abstract_inverted_index.likely | 51 |
| abstract_inverted_index.market | 64 |
| abstract_inverted_index.needed | 277 |
| abstract_inverted_index.number | 211 |
| abstract_inverted_index.semen, | 114 |
| abstract_inverted_index.server | 170 |
| abstract_inverted_index.social | 29 |
| abstract_inverted_index.yield, | 18 |
| abstract_inverted_index.Further | 123 |
| abstract_inverted_index.animals | 130 |
| abstract_inverted_index.billion | 47, 55 |
| abstract_inverted_index.created | 81 |
| abstract_inverted_index.defined | 94 |
| abstract_inverted_index.disease | 25 |
| abstract_inverted_index.embryos | 115 |
| abstract_inverted_index.further | 49 |
| abstract_inverted_index.immense | 244 |
| abstract_inverted_index.markers | 197 |
| abstract_inverted_index.methods | 142 |
| abstract_inverted_index.reached | 45 |
| abstract_inverted_index.species | 9, 250 |
| abstract_inverted_index.traits, | 15 |
| abstract_inverted_index.variety | 274 |
| abstract_inverted_index.various | 14, 205 |
| abstract_inverted_index.without | 231 |
| abstract_inverted_index.Domestic | 0 |
| abstract_inverted_index.ability, | 22 |
| abstract_inverted_index.accuracy | 234 |
| abstract_inverted_index.accurate | 86 |
| abstract_inverted_index.achieved | 226 |
| abstract_inverted_index.analysis | 147 |
| abstract_inverted_index.approach | 120, 135, 239 |
| abstract_inverted_index.critical | 83 |
| abstract_inverted_index.domestic | 248 |
| abstract_inverted_index.facility | 176 |
| abstract_inverted_index.identify | 271 |
| abstract_inverted_index.learning | 229 |
| abstract_inverted_index.modelled | 263 |
| abstract_inverted_index.numbers, | 61 |
| abstract_inverted_index.obtained | 189 |
| abstract_inverted_index.overcome | 163 |
| abstract_inverted_index.product, | 70 |
| abstract_inverted_index.products | 118 |
| abstract_inverted_index.quality, | 20 |
| abstract_inverted_index.reasons. | 32 |
| abstract_inverted_index.reducing | 210 |
| abstract_inverted_index.selected | 10 |
| abstract_inverted_index.yielding | 198 |
| abstract_inverted_index.Neolithic | 37 |
| abstract_inverted_index.admixture | 127 |
| abstract_inverted_index.algorithm | 230 |
| abstract_inverted_index.developed | 167 |
| abstract_inverted_index.germplasm | 78, 279 |
| abstract_inverted_index.important | 8, 218 |
| abstract_inverted_index.magnitude | 59 |
| abstract_inverted_index.molecular | 119, 134, 145 |
| abstract_inverted_index.reference | 154, 173, 181 |
| abstract_inverted_index.religious | 31 |
| abstract_inverted_index.algorithms | 206 |
| abstract_inverted_index.challenges | 165 |
| abstract_inverted_index.developing | 185 |
| abstract_inverted_index.especially | 111 |
| abstract_inverted_index.expertise. | 161 |
| abstract_inverted_index.phenotypic | 109 |
| abstract_inverted_index.population | 43 |
| abstract_inverted_index.prediction | 186 |
| abstract_inverted_index.programme. | 258 |
| abstract_inverted_index.resistance | 23 |
| abstract_inverted_index.respective | 273 |
| abstract_inverted_index.description | 110 |
| abstract_inverted_index.descriptors | 96 |
| abstract_inverted_index.imperative. | 137 |
| abstract_inverted_index.limitations | 150 |
| abstract_inverted_index.maintaining | 172 |
| abstract_inverted_index.management, | 63 |
| abstract_inverted_index.management. | 280 |
| abstract_inverted_index.methodology | 241 |
| abstract_inverted_index.<i>Bos | 2 |
| abstract_inverted_index.Minimization | 220 |
| abstract_inverted_index.availability | 156 |
| abstract_inverted_index.compromising | 232 |
| abstract_inverted_index.conservation | 71, 257 |
| abstract_inverted_index.memory-based | 228 |
| abstract_inverted_index.non-descript | 129 |
| abstract_inverted_index.traceability | 67 |
| abstract_inverted_index.(8,000-10,000 | 38 |
| abstract_inverted_index.computational | 160 |
| abstract_inverted_index.domestication | 35 |
| abstract_inverted_index.flow/exchange, | 79 |
| abstract_inverted_index.identification | 101, 141, 216, 255 |
| abstract_inverted_index.indispensable. | 122 |
| abstract_inverted_index.it&rsquo;s | 50 |
| abstract_inverted_index.microsatellite | 195 |
| abstract_inverted_index.prioritization | 72 |
| abstract_inverted_index.identification. | 90, 179 |
| abstract_inverted_index.taurus</i> | 3 |
| abstract_inverted_index.characterization, | 131 |
| cited_by_percentile_year.max | 95 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5014118368 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 10 |
| corresponding_institution_ids | https://openalex.org/I1141210 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/15 |
| sustainable_development_goals[0].score | 0.5799999833106995 |
| sustainable_development_goals[0].display_name | Life in Land |
| citation_normalized_percentile.value | 0.65601151 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |