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Building a platinum human genome assembly from single haplotype human genomes generated from long molecule sequencing Karyn Meltz Steinberg ASHG 2015 @KMS_Meltzy

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Building a platinum human genome assembly from single haplotype human genomes generated from long molecule sequencing

Karyn Meltz Steinberg ASHG 2015

@KMS_Meltzy

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CHM1_1.1 HuRef ALLPATHS YH_2.0

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Contig N50

Figure 1Last year…

Steinberg et al, 2014

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CHM13 Draft

CHM1 PB_2

CHM1 PB_1

CHM1_1.1 HuRef ALLPATHS YH_2.0

Contig Number

Contig N50

This year…

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CHM13 Draft

CHM1 PB_2

CHM1 PB_1

CHM1_1.1 HuRef ALLPATHS YH_2.0

Contig Number

Contig N50

We combine PacBio with other technologies to construct the assembly

How do we define platinum and gold standards?

GRCh38 Platinum (CHM1)

Gold (NA19240)

% Reference genome covered 100 98.40 90.80

% Assigned chromosomes 99.60 98.40 90.80

% gene models covered (>95% id, >90% length) 99.96 98.78 94.26

Contig N50 67.8 Mb 26.9 Mb 6.0 Mb

Number of gaps 875 3,640 3,568

Total Assembled size 3.067 Gb 2.996 Gb 2.745 Gb

% haplotype blocks (>1kb) resolved NA >95 >80

http://genome.wustl.edu/projects/detail/reference-genomes-improvement/

CHM13 Draft Assembly (GCA_000983455.1)

•  60X PacBio (P5 and P6 chemistry) •  Average read length ~11kb •  Daligner/Falcon v 0.2

Total sequence length 2,851,367,788

Number of contigs 2,873

Contig N50 12,981,785

Contig L50 68

Gene Model (RefSeq) Analysis

GRCh38 CHM1_1.1 CHM1_PB1 CHM1_PB2 CHM13

Number of sequences not aligning

21 88 67 67 125

Split Transcripts 8 35 1,245 1,131 285

CDS coverage <95% 17 266 1,339 1,212 265

Total Sequences Retrieved from Entrez 49,680

Short read sequence analysis

•  100X Illumina sequence •  Align with BWA-MEM to ordered and

oriented assembly •  Variant calling via SpeedSeq (Chiang et al,

2015) •  SNVs, indels: FreeBayes •  SVs: LUMPY, SVTyper •  CNV: CNVnator

CHM13 Illumina data aligned to CHM13 assembly

202,016 SNVs/indels on unplaced scaffolds

SV_TYPES   >10kb   5-10kb   1-5kb   <1kb  DELETIONS   174   131   430   2582  INVERSIONS   5   0   2   7  

DUPLICATIONS   151   112   309   113  TOTAL   330   243   741   2702  

BioNano SV calls can be used to identify misassembly

Colla

pse

Expa

nsio

n in

Ass

embl

y

Gap in Sequence PacBio Assembly

BioNano Map

SV_TYPES  DELETIONS   41  INVERSIONS   10  INSERTIONS   15

TOTAL   66  

BioNano alignment to CHM13

BioNano reveals collapse in PacBio assembly

PacBio Assembly

BioNano Map

Illumina data aligned to PacBio assembly also shows collapse

BioNano reveals collapse in PacBio assembly due to highly homologous segmental duplications

SD = 96%

CHR1   46746040   46857004   40   W   LBHZ01000938.1   110965  

CHR1   46857005   47034202   41   N   177198   gap  

CHR1   47034203   52157695   42   W   LBHZ01000245.1   5123493  

PacBio Assembly

BioNano Map

This region is rich in medically relevant genes

chr1 (p33) p31.1 1q12 q41 43 44

CYP4Z2P

CYP4A11

CYP4X1

CYP4Z1

CYP4A22

SegDups

Genes

CHM13

PacBio

LBHZ010000938.1 LBHZ010000938.1

LBHZ010000245.1

CHM13 Hybrid Scaffold Hybrid Scaffold

PacBio Contigs

BioNano Contigs

CHM13 Hybrid Scaffolds

BioNano Map PacBio Assmbly Hybrid Scaffold

# of Contigs 3593 1590 * 254

Min Contig Length 0.08 Mb 0 0.27 Mb

Median Contig Length 0.61 Mb 0.06 Mb 4.35 Mb

Mean Contig Length 0.78 Mb 1.78 Mb 9.68 Mb

Contig N50 1.02 Mb 13.46 Mb 20.79 Mb

Max Contig Length 5.27 Mb 63.15 Mb 82.83 Mb

Total Contig Length 2.812 Gb 2.824 Gb 2.458 Gb

*Number of contigs used in hybrid scaffolding

Combining CHM1 and CHM13

reference

mapping

CHM1 CHM13

Pipeline analysis

Variant Evaluation

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Acknowledgements

The McDonnell Genome Institute at Washington University in St. Louis

Rick Wilson Bob Fulton Wes Warren Tina Graves-Lindsay Vince Magrini Sean McGrath Derek Albracht Milinn Kremitzki Susan Rock Debbie Scheer Aye Wollam

The Finishing and Bioinformatics Teams at The Genome Institute

University of Washington Evan Eichler John Huddleston Archana Raja

NCBI Valerie Schneider

University of Pittsburgh School of Medicine (CHM13 cell line)

Urvashi Surti

Personalis Deanna Church

BioNano Genomics Palak Sheth

Pacific Biosciences Jason Chin Nick Sisneros