ライフサイエンスコーパス: Celera

1 ction to the unitig approach we developed at Celera.

2 as nearest gene data from Ensembl, NCBI and Celera.

3 p distances, physical-map positions from the Celera and Human Genome Project sequence, and likelihood

4 chromosomal location by comparison with the Celera and public (Ensembl) mouse genome databases.

5 t recent mouse sequence assemblies from both Celera and public databases.

6 were used, each combining sequence data from Celera and the publicly funded genome effort.

7 ssembled human genome draft sequence and the Celera assembled human genome sequence, 36% of the STSs

8 We call our system the Maryland Super-Read Celera Assembler (abbreviated MaSuRCA and pronounced 'ma

9 n order of magnitude on large genomes versus Celera Assembler 8.2.

10 om the incorporation of this method into the Celera Assembler are reported for the D. melanogaster, H

11 a diploid locus as produced by the original Celera Assembler consensus algorithm.

12 Integrating MHAP with the Celera Assembler enabled reference-grade de novo assembl

13 ew EULER-DB algorithm that, similarly to the Celera assembler takes advantage of clone-end sequencing

14 dress these issues with Canu, a successor of Celera Assembler that is specifically designed for noisy

15 Celera Assembler was modified for combinations of ABI 37

16 The revised pipeline called CABOG (Celera Assembler with the Best Overlap Graph) is robust

17 euler, in contrast to the celera assembler, does not mask such repeats but uses th

18 ckages named SSAKE, SHARCGS, VCAKE, Newbler, Celera Assembler, Euler, Velvet, ABySS, AllPaths, and SO

19 However, in contrast to the Celera assembler, EULER-DB does not mask repeats but use

20 Using MHAP and the Celera Assembler, single-molecule sequencing can produce

21 (ii) corrected reads are assembled using the Celera Assembler; and (iii) the assembly is polished usi

22 owever it took a year for the quality of the Celera assembly to approach that of HGSC, suggesting an

23 r errors in OR gene distribution in the 2001 Celera assembly were corrected.

24 everal mouse strains, including those of the Celera assembly.

25 An interim strategy employed at Celera, called compartmentalized shotgun assembly, makes

26 c; October 2000 and April 2001 releases) and Celera (CEL; February 2001 release) databases.

27 licly available on the web at http://panther.celera.com.

28 cing information are available at http://cds.celera.com.

29 o known mammalian sialidases reported in the Celera database is shown to encode a novel neuraminidase

30 SNPs in the public (TSC and BAC overlap) and Celera databases were confirmed in independent resequenc

31 etected, 4 were present in both the NCBI and Celera databases.

32 The Celera Diagnostics ViroSeq HIV-1 Genotyping System is a

33 ma HIV by using a genotyping assay (ViroSeq; Celera Diagnostics), a phenotypic resistance assay (Phen

34 The Celera Discovery System (CDS) is a web-accessible resear

35 bacterial artificial chromosomes (BACs) and Celera fragments.

36 The Celera-generated shotgun data set consisted of 27 millio

37 e inverted orientation is represented in the Celera genome assembly.

38 sequence contigs from the publicly available Celera Genomics (CG) and Human Genome Project (HGP) effo

39 man Genome Sequencing Consortium (IHGSC) and Celera Genomics (CG).

40 d the hierarchical shotgun approach, whereas Celera Genomics adopted the whole-genome shotgun (WGS) a

41 lished in 2000 through collaboration between Celera Genomics and the Drosophila Genome Projects, has

42 also discuss some of the methods used in the Celera Genomics high-throughput phylogenomic classificat

43 between the public Human Genome Project and Celera Genomics produced working drafts of the human gen

44 We then compared this map with the NCBI, Celera Genomics, and UCSC Golden Path data in February,

45 In the gene discovery group of Celera Genomics, I developed a two-step method, i.e. a B

46 uman Genome Sequencing Consortium (HGSC) and Celera Genomics, several comparisons have been made of v

47 ented by FlyBase and the other by PANTHER at Celera Genomics.

48 uman Genome Sequencing Consortium (HGSC) and Celera Genomics.

49 sembler" approach, favored by researchers at Celera Genomics.

50 mblies of the whole human genome (Public and Celera Human Genome assemblies).

51 Applying this method to data from the Celera human genome sequencing and SNP discovery project

52 alled WGSA) of the human genome generated at Celera in 2001.

53 n the NIH C57BL/6 genome but absent from the Celera mixed-strain assembly, which excludes C57BL/6 dat

54 Querying the Celera Mouse Genome Assembly revealed that a majority of

55 xtension of previous research using the 2001 Celera mouse genome assembly, we analyzed OR and V1R gen

56 the mouse OR genes from the nearly complete Celera mouse genome by a comprehensive data mining strat

57 In comparison with Celera on the MiSeq dataset, Omega provided more continu

58 has not been correctly identified by either Celera or the public Human Genome Project.

59 large mammalian genome, but merely that the Celera paper does not provide such evidence.

60 Our analysis indicates that the Celera paper provides neither a meaningful test of the W

61 In the Celera paper, the authors did not analyze their own WGS

62 The Celera results provide more order and orientation, and t

63 nt genic categories using two SNP databases: Celera's CgsSNP, which includes SNPs identified by compa

64 d genes can be derived from both assemblies, Celera's Otto approach consistently generated larger, mo

65 entified by comparing genomic sequences, and Celera's RefSNP, which includes SNPs from a variety of s

66 chical shotgun (HS) sequencing strategy over Celera's whole genome shotgun (WGS) approach.

67 By computationally comparing the public and Celera sequence assemblies of the human genome, we ident

68 r between the working draft sequence and the Celera sequence.

69 Two examples from Celera were shown in this paper.