Question
Areas of consensus can be identified in this type of data using WebLogos. The Smith–Waterman algorithm assigns penalties to gaps between this type of data during matrix scoring. Neighbor-joining is one method used to create trees from this type of data that do not abide by molecular clock theory. Popular formats used to store this type of data include PHYLIP and FASTA. (*) NCBI maintains a search tool comparing this type of data to a query named BLAST. This type of data became cheaper to obtain after the emergence of next-generation techniques. The units of this type of data are assigned one of four colors in techniques named Illumina and Sanger. For 10 points, name this type of data used to detail DNA nucleotide order. ■END■
ANSWER: DNA sequences [accept nucleic acid sequences; accept nucleotide sequences; accept genetic sequences; accept RNA sequences; accept protein sequences; accept sequence alignments; accept DNA sequencing or RNA sequencing or Sanger sequencing or protein sequencing; accept polypeptide sequences; accept alignments; prompt on strings; prompt on queries until read; prompt on letters or words or text; prompt on DNA with “DNA can be represented as what kind of data structures?” before read; prompt on genes or genomes or promoters or codons or RNA or proteins or polypeptides or nucleotides or nucleic acids with “Those entities can be represented as what kind of data structures?”]
<Science - Biology>
= Average correct buzz position
Summary
| 2024 Booster Shot (Vanderbilt) | 03/02/2024 | N | 4 | 25% | 25% | 75% | 25.00 |
| 2024 Booster Shot (Great Lakes) | 03/09/2024 | Y | 6 | 67% | 33% | 17% | 66.00 |
| 2024 Booster Shot (WUSTL) | 03/09/2024 | Y | 3 | 67% | 33% | 0% | 60.50 |
Buzzes
| Player | Team | Opponent | Buzz Position | Value |
|---|---|---|---|---|
| Pranav Sivaram | Ohio | Michigan C | 53 | -5 |
| Rasheeq Azad | North Carolina | Iowa | 58 | 15 |
| Cyrus Zhou | WUSTL | Ohio State | 58 | 15 |
| Amith Punyala | WUSTL A | Squidward Community College | 59 | 15 |
| Logan Mathis | SIUE | WUSTL C | 62 | 10 |
| Yashwanth Bajji | Michigan A | Stanford | 74 | 10 |
| Conor Thompson | Iowa State | Penn State A | 74 | 10 |
| Elijah Quan | Michigan C | Ohio | 124 | 0 |
| Pajwal Bhandari | Penn State B | Michigan B | 124 | 0 |
| Kevin Zheng | Michigan B | Penn State B | 124 | 0 |
| Sebastian Pujet | WUSTL J | Truman State | 124 | 0 |
| Donal Ryan | Truman State | WUSTL J | 124 | 0 |