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Round 4: Tossup 5

Note to moderator: Read the answerline carefully. Filigree edges in these things are disconnected rather than removed to efficiently construct them in the “meta” version of a “St. Petersburg” tool. Breakpoint graphs identify synteny (“SIN-tuh-nee”) blocks and rearrangements in these things. (10[1])The SPAdes tool builds these things using de Bruijn (“duh broyn”) graphs of k-mers for de novo assembly. The program MiniMap2 chains minimizers in these things to address quadratic slowdown in the Smith–Waterman (10[1])algorithm. The Bowtie (10[1])package uses a Burrows–Wheeler transform to align these things. Eugene Myers helped develop a search tool for these things (10[1])called BLAST, (10[1])and advocated for a “shotgun” method to map them, (10[2])which can also be done using techniques (10[1])developed by Illumina and Sanger. For 10 points, Celera competed with a project to identify the human version of what entities representing an organism’s genetic material? ■END■

ANSWER: genomes [accept DNA sequences or nucleic acid sequences or nucleotide sequences or genetic sequences or RNA sequences or protein sequences or polypeptide sequences; accept or DNA sequencing or RNA sequencing or protein sequencing; accept sequence alignments or alignments; accept BLAST until read; accept Human Genome Project; prompt on strings or queries or letters or words or text; prompt on DNA or RNA or genes or promoters or codons or proteins or polypeptides or nucleotides or nucleic acids by asking “what kind of data structures can be used to represent them?”]
<UCSD, Biology> | Packet-C_Arizona-State_SIUE_UCSD
= Average correct buzzpoint

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Buzzes

PlayerTeamOpponentBuzzpointValue
David BassJohns Hopkins AGeorge Washington A3910
Richard NiuCornell BNYU B7010
Andy YuMaryland AMaryland B7310
Jerry VinokurovJohn Jay CollegeGeorge Washington B9210
Aum MundheRutgers AHaverford A9410
Ryan RosenbergNYU AHaverford B10310
Frederick Rivas-GiorgiYale AColumbia C10310
Noah ChenColumbia BPenn B11010

Summary

TournamentEditionMatchHeardConv. %Neg %Avg. Buzz
Florida2025-02-01✓3100%0%95.00
Great Lakes2025-02-01✓6100%17%109.50
Lower Mid-Atlantic2025-02-01✓5100%20%101.40
Midwest2025-02-01✓2100%0%92.50
North2025-02-01✓3100%0%120.67
Northeast2025-02-01✓580%40%124.00
Overflow2025-02-01✓5100%0%75.80
Pacific Northwest2025-02-01✓2100%50%114.50
Southeast2025-02-01✓4100%0%88.25
UK2025-02-01✓10100%30%112.30
Upper Mid-Atlantic2025-02-01✓8100%0%85.50
Upstate NY2025-02-01✓3100%33%117.33