Joel Armstrong

Joel Armstrong

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Joel Armstrong

UC Santa Cruz Genomics Institute, UC Santa Cruz, Santa Cruz, USA

Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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14 July 2020 in Nature
Verified
Journal Article
Open access
PDF file
KMKaren Miga
Karen Miga
SKSergey Koren
Sergey Koren
ARArang Rhie
Arang Rhie
MVMitchell R. Vollger
Mitchell R. Vollger
AGAriel Gershman
Ariel Gershman
APAdam M. Phillippy
Adam M. Phillippy
After two decades of improvements, the current human reference genome (GRCh38) is the most accurate and complete vertebrate genome ever produced. However, no single chromosome has been finished end to end, and hundreds of unresolved gaps persist1,2. Here we present a human genome assembly that surpasses the continuity of GRCh382, along with a gapless, telomere-to-telomere assembly of a human chromosome. This was enabled by high-coverage, ultra-long-read nanopore sequencing of the complete hydatidiform mole CHM13 genome, combined with complementary technologies for quality improvement and validation. Focusing our efforts on the human X chromosome3, we reconstructed the centromeric satellite DNA array (approximately 3.1 Mb) and closed the 29 remaining gaps in the current reference, including new sequences from the human pseudoautosomal regions and from cancer-testis ampliconic gene families (CT-X and GAGE). These sequences will be integrated into future human reference genome releases. In addition, the complete chromosome X, combined with the ultra-long nanopore data, allowed us to map methylation patterns across complex tandem repeats and satellite arrays. Our results demonstrate that finishing the entire human genome is now within reach, and the data presented here will facilitate ongoing efforts to complete the other human chromosomes.

11 November 2020 in Nature
Verified
Journal Article
Open access
PDF file
JAJoel Armstrong
Joel Armstrong
GHGlenn Hickey
Glenn Hickey
MDMark Diekhans
Mark Diekhans
IFIan T. Fiddes
Ian T. Fiddes
ANAdam M. Novak
Adam M. Novak
BPBenedict Paten
Benedict Paten
New genome assemblies have been arriving at a rapidly increasing pace, thanks to decreases in sequencing costs and improvements in third-generation sequencing technologies1–3. For example, the number of vertebrate genome assemblies currently in the NCBI (National Center for Biotechnology Information) database4increased by more than 50% to 1,485 assemblies in the year from July 2018 to July 2019. In addition to this influx of assemblies from different species, new human de novo assemblies5are being produced, which enable the analysis of not only small polymorphisms, but also complex, large-scale structural differences between human individuals and haplotypes. This coming era and its unprecedented amount of data offer the opportunity to uncover many insights into genome evolution but also present challenges in how to adapt current analysis methods to meet the increased scale. Cactus6, a reference-free multiple genome alignment program, has been shown to be highly accurate, but the existing implementation scales poorly with increasing numbers of genomes, and struggles in regions of highly duplicated sequences. Here we describe progressive extensions to Cactus to create Progressive Cactus, which enables the reference-free alignment of tens to thousands of large vertebrate genomes while maintaining high alignment quality. We describe results from an alignment of more than 600 amniote genomes, which is to our knowledge the largest multiple vertebrate genome alignment created so far.

11 November 2020 in Nature
Verified
Journal Article
Open access
PDF file
ZCZoonomia Consortium
Zoonomia Consortium
EKElinor Karlsson
Elinor Karlsson
ASAitor Serres
Aitor Serres
JAJoel Armstrong
Joel Armstrong
JJJeremy Johnson
Jeremy Johnson
EKElinor Karlsson
Elinor Karlsson
The Zoonomia Project is investigating the genomics of shared and specialized traits in eutherian mammals. Here we provide genome assemblies for 131 species, of which all but 9 are previously uncharacterized, and describe a whole-genome alignment of 240 species of considerable phylogenetic diversity, comprising representatives from more than 80% of mammalian families. We find that regions of reduced genetic diversity are more abundant in species at a high risk of extinction, discern signals of evolutionary selection at high resolution and provide insights from individual reference genomes. By prioritizing phylogenetic diversity and making data available quickly and without restriction, the Zoonomia Project aims to support biological discovery, medical research and the conservation of biodiversity.

11 November 2020 in Nature
Verified
Journal Article
Open access
PDF file
SFShaohong Feng
Shaohong Feng
JSJosefin Stiller
Josefin Stiller
YDYuan Deng
Yuan Deng
JAJoel Armstrong
Joel Armstrong
QFQi Fang
Qi Fang
GZGuojie Zhang
Guojie Zhang
Whole-genome sequencing projects are increasingly populating the tree of life and characterizing biodiversity1,2,3,4. Sparse taxon sampling has previously been proposed to confound phylogenetic inference5, and captures only a fraction of the genomic diversity. Here we report a substantial step towards the dense representation of avian phylogenetic and molecular diversity, by analysing 363 genomes from 92.4% of bird families—including 267 newly sequenced genomes produced for phase II of the Bird 10,000 Genomes (B10K) Project. We use this comparative genome dataset in combination with a pipeline that leverages a reference-free whole-genome alignment to identify orthologous regions in greater numbers than has previously been possible and to recognize genomic novelties in particular bird lineages. The densely sampled alignment provides a single-base-pair map of selection, has more than doubled the fraction of bases that are confidently predicted to be under conservation and reveals extensive patterns of weak selection in predominantly non-coding DNA. Our results demonstrate that increasing the diversity of genomes used in comparative studies can reveal more shared and lineage-specific variation, and improve the investigation of genomic characteristics. We anticipate that this genomic resource will offer new perspectives on evolutionary processes in cross-species comparative analyses and assist in efforts to conserve species.

8 June 2018 in Science
Verified
Journal Article
Closed access
PDF file
ZKZev N. Kronenberg
Zev N. Kronenberg
IFIan T. Fiddes
Ian T. Fiddes
DGDavid Gordon
David Gordon
SMShwetha Murali
Shwetha Murali
SCStuart Cantsilieris
Stuart Cantsilieris
FMF. Kumara Eugene Mastrorosa
F. Kumara Eugene Mastrorosa
A spotlight on great ape genomes: Most nonhuman primate genomes generated to date have been “humanized” owing to their many gaps and the reliance on guidance by the reference human genome. To remove this humanizing effect, Kronenberg et al. generated and assembled long-read genomes of a chimpanzee, an orangutan, and two humans and compared them with a previously generated gorilla genome. This analysis recognized genomic structural variation specific to humans and particular ape lineages. Comparisons between human and chimpanzee cerebral organoids showed down-regulation of the expression of specific genes in humans, relative to chimpanzees, related to noncoding variation identified in this analysis. Science , this issue p. eaar6343

18 December 2020 in Science
Verified
Journal Article
Closed access
PDF file
WWWesley C. Warren
Wesley C. Warren
RHR. Alan Harris
R. Alan Harris
MHMarina Haukness
Marina Haukness
IFIan T. Fiddes
Ian T. Fiddes
SMShwetha C. Murali
Shwetha C. Murali
FMF. Kumara Eugene Mastrorosa
F. Kumara Eugene Mastrorosa
A high-quality rhesus macaque genome: Genome technology has improved substantially since the first full organismal genomes were generated. Applying new technology, Warren et al. refined the genome of the rhesus macaque, a model nonhuman primate. Long-read technology and other recent advances in sequencing technology were applied to generate a genome with far fewer gaps and helped to refine the locations and numbers of repetitive elements. Furthermore, the authors performed resequencing among populations to identify the genetic variability of the rhesus macaque. Thus, a previously incomplete and inaccurate set of sequence information is now fully resolved, improving gene mapping for biomedical and comparative genetic studies. Science , this issue p. eabc6617