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Award details
- Awarding agency
- Department of Health and Human Services
- Branch
- National Institutes of Health
- Recipient company
- DNASTAR, INC.
- Proposal award date
- 2018-09-01
- Contract end date
- 2019-02-28
- UEI
- MM8CFNUNTBL7
- Solicitation number
- PA17-302
- Topic code
- 300
Research abstract
We are entering a new era of personal genomics where an individualandapos s genome sequence will be used to
identify disease susceptibilityimprove diagnosis and better treat illnesses as well as be combined across
cohorts and populations to identify new biomarkers and causal mutations underlying any phenotypeDespite
the tremendous success of mapping short read next generation sequencingNGSdata onto a reference
genomeresequencingin identifying genetic variation in a new genomethe inherent lack of long range
connectivity together with reference induced biases make obtaining complete haplotype phased genomes
exceedingly difficultEmerging long read technologies are beginning to address this critical shortcoming by
direct de novo assembly of an individualandapos s genomeHoweverinitial de novo assemblies typically consist of
many thousands of unordered contigs that require extensive post assembly processing to produce finished
sequences that can be effectively mined for genetic content and variationThusthere is an urgent need for
integratedscalable post assembly software thatautomatically organizesjoins and phases the initial contigs
into complete haplotype sequencessupports optional NGS and or manual polishing andprovides initial
automated annotation of those sequencesCurrentlysuch software does not exist and instead users must
cobble together a confusing array of difficult to usetask specific pieces of open source programsDNASTARandapos s post assembly editing programSeqMan ProSMPhas a proven history in finishing bacterial
sized genomes although it currently lacks the scalability and all the needed functionality to tackle human
genome sized problemsThe primary goal of this Fast Track proposal is to create a fully scalable version of
SMP for the automated finishing and annotation of de novo assembled large eukaryotic genomes while also
providing a manual editing platform when neededDuring Phase Iwe will develop two key prototypesa
new assembly file formateBAMwhich is interconvertible with the BAM formatbut also is editable like our
SQD files anda rapid reference assisted contig scaffolding tool adapted from our proprietary Disk Sort
AlignmentDSAalgorithmWith that foundationwe will complete the transformation of SMP in Phase II byrefining the eBAM format for optimal editing performancebuilding a newbit version of the SMP editing
engine that incorporates the additional functionality necessary for post assembly finishing of large eukaryotic
genomes including automated DSA based scaffolding and phase aware gap fillingcontig joining and
haplotype refinementcreating a new DSA based genome aligner for rapidly aligning a finished sequence to
an annotated reference genome which together witha new feature transfer and analysis modulewill permit
initial annotation of the finished genome along with a cataloging of variants and their impact in both native and
reference coordinatesInclusion of the reference coordinates allows variants in the new genome to be easily
associated with the wealth of information available through the numerous online knowledgebase resources New advances in DNA sequencing are making it possible to construct the entire genome sequence of every
personGleaning the genetic variation unique to each individual from these sequences has tremendous
implications for personalized medicineincluding understanding the causes of and cures for human diseaseIn
this projectwe will develop the finishing software needed to determine the complete genome sequence as well
as its genetic content and variation from any individual
Technology keywords
Not reported
Other awards by this recipient
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Research funding history
31 SBIR/STTR records share this UEI (1983–2023). Reported award amounts total $23,638,372. Reported amounts are not federal obligations.
Phases: Phase I, Phase II, Phase II – Direct to Phase II
Agencies: Department of Health and Human Services
Agency intelligence
Department of Health and Human Services
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