Educational and Research Institute Government Departments Closing in 5 days TDR #57629174

Tender For Supply Of Next-Generation Sequencing (Ngs) Services For Whole Genome Sequencing (Wgs) Of Plant S Les, Including Dna Extraction, 80 Gb (Q30) Data Per S Le, Bulked Segregant Analysis (Bsa-Seq), Pairwise Variant Discovery, Comparative Analysi

Issued by Government Departments · Nadia, West Bengal
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Estimated cost
Bid Submission
01 Oct 2026
5 days left
EMD
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Bank guarantee accepted
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Non-refundable
Tender Type
Online

Tender Overview

Competition Type
NCB
Bidding Type
Tender
Location / State
Nadia → West Bengal
EMD Exemption
Not Available
Quantity
Not Available

Project Description

Tender for Supply Of Next-Generation Sequencing (Ngs) Services For Whole Genome Sequencing (Wgs) Of Plant S Les, Including Dna Extraction, 80 Gb (Q30) Data Per S Le, Bulked Segregant Analysis (Bsa-Seq), Pairwise Variant Discovery, Comparative Analysis, Polymorphism Detection, Gene Annotation, Candidate Region /Gene Identification And Linked-Marker Discovery With S Le Transport (Dry Ice) , Next-Generation Sequencing (Ngs) Services For Whole Genome Sequencing (Wgs) Of Plant Samples, Including Dna Extraction, 80 Gb (Q30) Data Per Sample, Bulked Segregant Analysis (Bsa-Seq), Pairwise Variant Discovery, Comparative Analysis, Polymorphism Detection, Gene Annotation, Candidate Region /Gene Identification And Linked-Marker Discovery With Sample Transport (Dry Ice). Detailed Specification Service Required: Reference-Based Whole Genome Sequencing (Wgs) Including Dna Extraction, High-Quality Sequencing, Variant Discovery, Gene Annotation, And Comparative Genomic Analysis. Sample Type:Young Leaf Samples (Fresh Plant Tissue). Sample Transport: Transport From Field To Servicing Laboratory In Dry Ice, Until Extraction Of High-Quality Dna Suitable For Wgs. Cost Must Be Included. Sequencing Platform: Illumina Novaseq 6000 Or Latest Equivalent High-Throughput Platform. Date: Minimum ≥80 Gb High-Quality Trimmed Data (Q30) Per Sample. Service And Analysis Requirement: 1. Dna Extraction, Qc And Bulk Preparation : • High-Quality Genomic Dna Extraction From Each Of The 60 Individual Leaf Samples And 2-4 Parents.Separate Qc Record For Each Of The 60 Dna Samples. Ormalisation Of Dna Concentration Followed By Equal-Quantity/Equimolar Pooling Of 15 Dnas Each Of Four Bulks. Documentation Of The Exact Contribution Of Each Individual Plant To Bulks; 2. Wgs Data Generation And Quality Control : •Trimmed And Quality-Filtered Paired-End Whole-Genome Sequencing Of 2-4 Bulks.Minimum ≥80 Gb Of High-Quality, Q30-Trimmed Data Per Bulk, Unless The Service Provider Proposes A Scientifically Justified Equivalent Coverage.Adapter Removal And Quality Filtering/Trimming.• Fastqc/Multiqc Or Equivalent Quality-Control Assessment. Raw-Read And Clean-Read Statistics, Q20/Q30, Gc Content, Read Count And Duplication Statistics.; 3. Reference-Based Genome Analysis : • Alignment Of Clean Reads To The Latest Appropriate Reference Genome. Reference Genome Accession/Version Must Be Reported. Reference-Based Mapping/Alignment Statistics.Total Reads Mapped And Percentage Mapped. Mapping Quality Statistics.Mean/Median Sequencing Depth.; • Genome-Wide Coverage And Percentage Of Genome Covered At Relevant Depth Thresholds. Coverage/Depth Plots For Both Bulk-1 And Bulk-2. Reference-Based Assembly And Mapping Statistics: Total Reads Mapped, Depth And Genome Coverage, Percentage Of Genome Covered, Mapping Quality Metrics.; 4. Variant Discovery / Polymorphism Detection : • High-Confidence Snp And Indel Calling, Say, Between Bulk-1 And Bulk-2. • Genomic Coordinates Of All Detected Variants. Reference And Alternative Alleles For Both The Parental Genotypes And Discarding Of Common Alternate Alleles Between The Two Parental Genotypes. • Read Depth, Genotype/Allele Information And Quality Score For Each Variant.A Variant Was Retained Only When The Sequencing Depth Of Both Parents Was At Least 20 Reads. • At Least 90% Of Parent-1 Reads Were Required To Support The Reference Allele And Similarly, At Least 90% Of Parent-2 Reads Were Required To Support The Alternative Allele. •A Stringent 90% Allele-Support Threshold Must Be Applied At Each Informative Marker.The 90% Threshold Must Be Applied Only To The Parental Samples, Not To The Bulks.; 5. Bulked Segregant Analysis (Bsa-Seq) Consider Both Snp And Indel Markers : When The Parent-1-Derived Allele Was The Reference Allele; • Snp-Index (Bulk1) = Parent-1 Derived Allele Reads In Bulk-1 / Total Bulk-1 Reads; Snp-Index(Bulk-2) = Parent-1-Derived Allele Reads In Bulk 2/ Total Bulk-2 Reads.; When The Parent-2-Derived Allele Was The Alternative Allele; Snp-Index (Bulk-1) = Parent-1 Derived Allele Reads In Bulk-1 / Total Bulk-1 Read; Snp-Index(Bulk-2) = Parent-1-Derived Allele Reads In Bulk 2/ Total Bulk-2 Reads.; Thus, The Calculated Index Always Represented The Proportion Of Reads Carrying The Allele Inherited From Parent-1, Rather Than Simply Representing The Frequency Of The Vcf Ref Or Alt Allele.; • Δsnp-Index (Snp-Index Bulk 1 − Snp-Index Bulk-2) Calculation Across The Genome.A Positive Δsnp-Index Therefore Indicated That The Parent-1-Derived Allele Was More Frequent In The Bulk-1 Than In The Bulk-2. Conversely, A Negative Δsnp-Index Indicated That The Parent-1-Derived Allele Was More Frequent In The Bulk-2. Identification Of Statistically/Significantly Differentiated Genomic Regions/Peaks. Sliding Window: A Window Size Of 0.1 Mb (1,000,00 Bp) And A Step Size Of 10 Kb (100,00 Bp) Must Be Used. ; Window Level-Qtl-Seq Stat: For Each Sliding Window, Mean Bulk-1Parent-1-Derived Allele Index = Sum Of Bulk-1 Parent-1-Derived Allele Indices / Number Of Informative Variants; Mean Bulk-2Parent-1-Derived Allele Index = Sum Of Bulk-2 Parent-1-Derived Allele Indices / Number Of Informative Variants. Mean Δsnp-Index = Sum Of Individual Δsnp-Index Values / Number Of Informative Variants. The Resulting Window-Level Dataset Therefore Summarized The Genomic Distribution Of Allele-Frequency Differences While Reducing The Influence Of Individual Marker-Level Fluctuations.; 6. Variant Annotation And Functional Impact• Annotation Of Snps And Indels Against The Reference Gene Annotation.• Classification Into Intergenic, Upstream/Downstream, Intronic, Exonic And Other Relevant Categories.• Synonymous, Missense, Nonsense/Stop-Gain, Splice-Site And Other Predicted Effects Where Applicable.• Functional Impact Prediction/Prioritization Of Variants.• Identification Of Variants Located Within Or Near Candidate Genes.; 7. Additional Deliverables • Summary Reports With All Statistical Outputs• Raw Data And Analysis Supporting Files Should Be Provided. ; • Fasta, Gff3, Vcf, Jpegand Bam Files For All The Samples As Applicable; • Detailed Compiled Report With Interpretations As Per The Instructions Of The Pi.

BOQ

Name of Work:- Supply of Next-generation sequencing (NGS) services for whole genome sequencing (WGS) of plant s les, including DNA extraction, 80 GB (Q30) data per s le, Bulked Segregant Analysis (BSA-seq), pairwise variant discovery, comparative analysis, polymorphism detection, gene annotation, candidate region /gene identification and linked-marker discovery with s le transport (dry ice)
Sl. No. Item Description
1Next-generation sequencing (NGS) services for whole genome sequencing (WGS) of plant samples, including DNA extraction, 80 GB (Q30) data per sample, Bulked Segregant Analysis (BSA-seq), pairwise variant discovery, comparative analysis, polymorphism detection, gene annotation, candidate region /gene identification and linked-marker discovery with sample transport (dry ice).Detailed SpecificationService Required: Reference-based Whole Genome Sequencing (WGS) including DNA extraction, high-quality sequencing, variant discovery, gene annotation, and comparative genomic analysis. Sample Type:Young leaf samples (fresh plant tissue). Sample Transport: Transport from field to servicing laboratory in dry ice, until extraction of high-quality DNA suitable for WGS. Cost must be included. Sequencing Platform: Illumina NovaSeq 6000 or latest equivalent high-throughput platform. Date: Minimum ≥80 GB high-quality trimmed data (Q30) per sample.Service and Analysis requirement: 1. DNA Extraction, QC and Bulk Preparation : • High-quality genomic DNA extraction from each of the 60 individual leaf samples and 2-4 parents.Separate QC record for each of the 60 DNA samples. ormalisation of DNA concentration followed by equal-quantity/equimolar pooling of 15 DNAs each of four bulks. Documentation of the exact contribution of each individual plant to bulks; 2. WGS Data Generation and Quality Control : •Trimmed and quality-filtered paired-end whole-genome sequencing of 2-4 bulks.Minimum ≥80 GB of high-quality, Q30-trimmed data per bulk, unless the service provider proposes a scientifically justified equivalent coverage.Adapter removal and quality filtering/trimming.• FastQC/MultiQC or equivalent quality-control assessment. Raw-read and clean-read statistics, Q20/Q30, GC content, read count and duplication statistics.; 3. Reference-Based Genome Analysis : • Alignment of clean reads to the latest appropriate reference genome. Reference genome accession/version must be reported. Reference-based mapping/alignment statistics.Total reads mapped and percentage mapped. Mapping quality statistics.Mean/median sequencing depth.; • Genome-wide coverage and percentage of genome covered at relevant depth thresholds. Coverage/depth plots for both bulk-1 and bulk-2. Reference-based assembly and mapping statistics: Total reads mapped, Depth and genome coverage, Percentage of genome covered, mapping quality metrics.; 4. Variant Discovery / Polymorphism Detection : • High-confidence SNP and Indel calling, say, between bulk-1 and bulk-2. • Genomic coordinates of all detected variants. Reference and alternative alleles for both the parental genotypes and discarding of common alternate alleles between the two parental genotypes. • Read depth, genotype/allele information and quality score for each variant.A variant was retained only when the sequencing depth of both parents was at least 20 reads. • At least 90% of Parent-1 reads were required to support the reference allele and similarly, at least 90% of Parent-2 reads were required to support the alternative allele. •A stringent 90% allele-support threshold must be applied at each informative marker.The 90% threshold must be applied only to the parental samples, not to the bulks.; 5. Bulked Segregant Analysis (BSA-seq) Consider both SNP and Indel markers : When the Parent-1-derived allele was the reference allele; • SNP-index (Bulk1) = Parent-1 derived allele reads in bulk-1 / total bulk-1 reads; SNP-index(bulk-2) = Parent-1-derived allele reads in bulk 2/ total bulk-2 reads.; When the Parent-2-derived allele was the alternative allele; SNP-index (bulk-1) = Parent-1 derived allele reads in bulk-1 / total bulk-1 read; SNP-index(bulk-2) = Parent-1-derived allele reads in bulk 2/ total bulk-2 reads.; Thus, the calculated index always represented the proportion of reads carrying the allele inherited from Parent-1, rather than simply representing the frequency of the VCF REF or ALT allele.; • ΔSNP-index (SNP-index bulk 1 − SNP-index bulk-2) calculation across the genome.A positive ΔSNP-index therefore indicated that the Parent-1-derived allele was more frequent in the bulk-1 than in the bulk-2. Conversely, a negative ΔSNP-index indicated that the Parent-1-derived allele was more frequent in the bulk-2. Identification of statistically/significantly differentiated genomic regions/peaks. Sliding window: A window size of 0.1 Mb (1,000,00 bp) and a step size of 10 kb (100,00 bp) must be used. ; Window level-QTL-seq Stat: For each sliding window, Mean Bulk-1Parent-1-derived allele index = sum of Bulk-1 Parent-1-derived allele indices / number of informative variants; Mean Bulk-2Parent-1-derived allele index = sum of Bulk-2 Parent-1-derived allele indices / number of informative variants. Mean ΔSNP-index = sum of individual ΔSNP-index values / number of informative variants. The resulting window-level dataset therefore summarized the genomic distribution of allele-frequency differences while reducing the influence of individual marker-level fluctuations.; 6. Variant Annotation and Functional Impact• Annotation of SNPs and InDels against the Reference gene annotation.• Classification into intergenic, upstream/downstream, intronic, exonic and other relevant categories.• Synonymous, missense, nonsense/stop-gain, splice-site and other predicted effects where applicable.• Functional impact prediction/prioritization of variants.• Identification of variants located within or near candidate genes.; 7. Additional Deliverables • Summary reports with all statistical outputs• Raw data and analysis supporting files should be provided. ; • FASTA, GFF3, VCF, JPEGand BAM files for all the samples as applicable; • Detailed compiled report with interpretations as per the instructions of the PI. Please Enable Macros to View BoQ information

AI Tender Summary

OUR REF NO 57629174
AUTHORITY Government Departments
TENDER VALUE Ref. Documents
LAST DATE 01-10-2026
Authority
Authority Name Bidhan Chandra Krishi Viswavidyalaya
Work Description Tender for Supply Of Next-Generation Sequencing (Ngs) Services For Whole Genome Sequencing (Wgs) Of Plant S Les, Including Dna Extraction, 80 Gb (Q30) Data Per S Le, Bulked Segregant Analysis (Bsa-Seq), Pairwise Variant Discovery, Comparative Analysis, Polymorphism Detection, Gene Annotation, Candidate Region /Gene Identification And Linked-Marker Discovery With S Le Transport (Dry Ice) , Next-Generation Sequencing (Ngs) Services For Whole Genome Sequencing (Wgs) Of Plant Samples, Including Dna Extraction, 80 Gb (Q30) Data Per Sample, Bulked Segregant Analysis (Bsa-Seq), Pairwise Variant Discovery, Comparative Analysis, Polymorphism Detection, Gene Annotation, Candidate Region /Gene Identification And Linked-Marker Discovery With Sample Transport (Dry Ice). Detailed Specification Service Required: Reference-Based Whole Genome Sequencing (Wgs) Including Dna Extraction, High-Quality Sequencing, Variant Discovery, Gene Annotation, And Comparative Genomic Analysis. Sample Type:Young Leaf Samples (Fresh Plant Tissue). Sample Transport: Transport From Field To Servicing Laboratory In Dry Ice, Until Extraction Of High-Quality Dna Suitable For Wgs. Cost Must Be Included. Sequencing Platform: Illumina Novaseq 6000 Or Latest Equivalent High-Throughput Platform. Date: Minimum ≥80 Gb High-Quality Trimmed Data (Q30) Per Sample. Service And Analysis Requirement: 1. Dna Extraction, Qc And Bulk Preparation : • High-Quality Genomic Dna Extraction From Each Of The 60 Individual Leaf Samples And 2-4 Parents.Separate Qc Record For Each Of The 60 Dna Samples. Ormalisation Of Dna Concentration Followed By Equal-Quantity/Equimolar Pooling Of 15 Dnas Each Of Four Bulks. Documentation Of The Exact Contribution Of Each Individual Plant To Bulks; 2. Wgs Data Generation And Quality Control : •Trimmed And Quality-Filtered Paired-End Whole-Genome Sequencing Of 2-4 Bulks.Minimum ≥80 Gb Of High-Quality, Q30-Trimmed Data Per Bulk, Unless The Service Provider Proposes A Scientifically Justified Equivalent Coverage.Adapter Removal And Quality Filtering/Trimming.• Fastqc/Multiqc Or Equivalent Quality-Control Assessment. Raw-Read And Clean-Read Statistics, Q20/Q30, Gc Content, Read Count And Duplication Statistics.; 3. Reference-Based Genome Analysis : • Alignment Of Clean Reads To The Latest Appropriate Reference Genome. Reference Genome Accession/Version Must Be Reported. Reference-Based Mapping/Alignment Statistics.Total Reads Mapped And Percentage Mapped. Mapping Quality Statistics.Mean/Median Sequencing Depth.; • Genome-Wide Coverage And Percentage Of Genome Covered At Relevant Depth Thresholds. Coverage/Depth Plots For Both Bulk-1 And Bulk-2. Reference-Based Assembly And Mapping Statistics: Total Reads Mapped, Depth And Genome Coverage, Percentage Of Genome Covered, Mapping Quality Metrics.; 4. Variant Discovery / Polymorphism Detection : • High-Confidence Snp And Indel Calling, Say, Between Bulk-1 And Bulk-2. • Genomic Coordinates Of All Detected Variants. Reference And Alternative Alleles For Both The Parental Genotypes And Discarding Of Common Alternate Alleles Between The Two Parental Genotypes. • Read Depth, Genotype/Allele Information And Quality Score For Each Variant.A Variant Was Retained Only When The Sequencing Depth Of Both Parents Was At Least 20 Reads. • At Least 90% Of Parent-1 Reads Were Required To Support The Reference Allele And Similarly, At Least 90% Of Parent-2 Reads Were Required To Support The Alternative Allele. •A Stringent 90% Allele-Support Threshold Must Be Applied At Each Informative Marker.The 90% Threshold Must Be Applied Only To The Parental Samples, Not To The Bulks.; 5. Bulked Segregant Analysis (Bsa-Seq) Consider Both Snp And Indel Markers : When The Parent-1-Derived Allele Was The Reference Allele; • Snp-Index (Bulk1) = Parent-1 Derived Allele Reads In Bulk-1 / Total Bulk-1 Reads; Snp-Index(Bulk-2) = Parent-1-Derived Allele Reads In Bulk 2/ Total Bulk-2 Reads.; When The Parent-2-Derived Allele Was The Alternative Allele; Snp-Index (Bulk-1) = Parent-1 Derived Allele Reads In Bulk-1 / Total Bulk-1 Read; Snp-Index(Bulk-2) = Parent-1-Derived Allele Reads In Bulk 2/ Total Bulk-2 Reads.; Thus, The Calculated Index Always Represented The Proportion Of Reads Carrying The Allele Inherited From Parent-1, Rather Than Simply Representing The Frequency Of The Vcf Ref Or Alt Allele.; • Δsnp-Index (Snp-Index Bulk 1 − Snp-Index Bulk-2) Calculation Across The Genome.A Positive Δsnp-Index Therefore Indicated That The Parent-1-Derived Allele Was More Frequent In The Bulk-1 Than In The Bulk-2. Conversely, A Negative Δsnp-Index Indicated That The Parent-1-Derived Allele Was More Frequent In The Bulk-2. Identification Of Statistically/Significantly Differentiated Genomic Regions/Peaks. Sliding Window: A Window Size Of 0.1 Mb (1,000,00 Bp) And A Step Size Of 10 Kb (100,00 Bp) Must Be Used. ; Window Level-Qtl-Seq Stat: For Each Sliding Window, Mean Bulk-1Parent-1-Derived Allele Index = Sum Of Bulk-1 Parent-1-Derived Allele Indices / Number Of Informative Variants; Mean Bulk-2Parent-1-Derived Allele Index = Sum Of Bulk-2 Parent-1-Derived Allele Indices / Number Of Informative Variants. Mean Δsnp-Index = Sum Of Individual Δsnp-Index Values / Number Of Informative Variants. The Resulting Window-Level Dataset Therefore Summarized The Genomic Distribution Of Allele-Frequency Differences While Reducing The Influence Of Individual Marker-Level Fluctuations.; 6. Variant Annotation And Functional Impact• Annotation Of Snps And Indels Against The Reference Gene Annotation.• Classification Into Intergenic, Upstream/Downstream, Intronic, Exonic And Other Relevant Categories.• Synonymous, Missense, Nonsense/Stop-Gain, Splice-Site And Other Predicted Effects Where Applicable.• Functional Impact Prediction/Prioritization Of Variants.• Identification Of Variants Located Within Or Near Candidate Genes.; 7. Additional Deliverables • Summary Reports With All Statistical Outputs• Raw Data And Analysis Supporting Files Should Be Provided. ; • Fasta, Gff3, Vcf, Jpegand Bam Files For All The Samples As Applicable; • Detailed Compiled Report With Interpretations As Per The Instructions Of The Pi.
Basic Detail
Tender No BCKV/CRU/2627/PI(13023)/Ten 6
Bidding Type Tender
Location
City Nadia
State West Bengal
Key Dates
Publish Date 22 Sep 2026
Submission Date 01 Oct 2026
Open Date 03 Oct 2026
Finance
Tender Value Ref. Documents
Tender Fee Ref. Documents
EMD Ref. Documents
Exemption Not Available
Document List
ab73ec87-3621-43d9-a2b6-5a490e72a239.html
BOQ_2558799.xls
Tendernotice_1 (40).pdf

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Tender Timeline

Sep 22, 2026
11:30 IST

Tender Published

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Completed
Oct 01, 2026
17:00 IST

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Oct 03, 2026

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