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1. Sequencing by avidity enables high accuracy with low reagent consumption

Author

Sinan Arslan, Francisco J. Garcia, Minghao Guo, Matthew W. Kellinger, Semyon Kruglyak, Jake A. LeVieux, Adeline H. Mah, Haosen Wang, Junhua Zhao, Chunhong Zhou, Andrew Altomare, John Bailey, Matthew B. Byrne, Chiting Chang, Steve X. Chen, Byungrae Cho, Claudia N. Dennler, Vivian T. Dien, Derek Fuller, Ryan Kelley, Omid Khandan, Michael G. Klein, Michael Kim, Bryan R. Lajoie, Bill Lin, Yu Liu, Tyler Lopez, Peter T. Mains, Andrew D. Price, Samantha R. Robertson, Hermes Taylor-Weiner, Ramreddy Tippana, Austin B. Tomaney, Su Zhang, Minna Abtahi, Mark R. Ambroso, Rosita Bajari, Ava M. Bellizzi, Chris B. Benitez, Daniel R. Berard, Lorenzo Berti, Kelly N. Blease, Angela P. Blum, Andrew M. Boddicker, Leo Bondar, Chris Brown, Chris A. Bui, Juan Calleja-Aguirre, Kevin Cappa, Joshua Chan, Victor W. Chang, Katherine Charov, Xiyi Chen, Rodger M. Constandse, Weston Damron, Mariam Dawood, Nicole DeBuono, John D. Dimalanta, Laure Edoli, Keerthana Elango, Nikka Faustino, Chao Feng, Matthew Ferrari, Keith Frankie, Adam Fries, Anne Galloway, Vlad Gavrila, Gregory J. Gemmen, James Ghadiali, Arash Ghorbani, Logan A. Goddard, Adriana Roginski Guetter, Garren L. Hendricks, Jendrik Hentschel, Daniel J. Honigfort, Yun-Ting Hsieh, Yu-Hsien Hwang Fu, Scott K. Im, Chaoyi Jin, Shradha Kabu, Daniel E. Kincade, Shawn Levy, Yu Li, Vincent K. Liang, William H. Light, Jonathan B. Lipsher, Tsung-li Liu, Grace Long, Rui Ma, John M. Mailloux, Kyle A. Mandla, Anyssa R. Martinez, Max Mass, Daniel T. McKean, Michael Meron, Edmund A. Miller, Celyne S. Moh, Rachel K. Moore, Juan Moreno, Jordan M. Neysmith, Cassandra S. Niman, Jesus M. Nunez, Micah T. Ojeda, Sara Espinosa Ortiz, Jenna Owens, Geoffrey Piland, Daniel J. Proctor, Josua B. Purba, Michael Ray, Daisong Rong, Virginia M. Saade, Sanchari Saha, Gustav Santo Tomas, Nicholas Scheidler, Luqmanal H. Sirajudeen, Samantha Snow, Gudrun Stengel, Ryan Stinson, Michael J. Stone, Keoni J. Sundseth, Eileen Thai, Connor J. Thompson, Marco Tjioe, Christy L. Trejo, Greg Trieger, Diane Ni Truong, Ben Tse, Benjamin Voiles, Henry Vuong, Jennifer C. Wong, Chiung-Ting Wu, Hua Yu, Yingxian Yu, Ming Yu, Xi Zhang, Da Zhao, Genhua Zheng, Molly He, and Michael Previte

Subjects
Biomedical Engineering, Molecular Medicine, Bioengineering, Applied Microbiology and Biotechnology, Biotechnology
Abstract

We present avidity sequencing, a sequencing chemistry that separately optimizes the processes of stepping along a DNA template and that of identifying each nucleotide within the template. Nucleotide identification uses multivalent nucleotide ligands on dye-labeled cores to form polymerase–polymer–nucleotide complexes bound to clonal copies of DNA targets. These polymer–nucleotide substrates, termed avidites, decrease the required concentration of reporting nucleotides from micromolar to nanomolar and yield negligible dissociation rates. Avidity sequencing achieves high accuracy, with 96.2% and 85.4% of base calls having an average of one error per 1,000 and 10,000 base pairs, respectively. We show that the average error rate of avidity sequencing remained stable following a long homopolymer.

Published
2023
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2. Sequencing by Avidity Enables High Accuracy With Low Reagent Consumption

Author

Sinan Arslan, Matthew Kellinger, Semyon Kruglyak, Jake LeVieux, Adeline Mah, Haosen Wang, Junhua Zhao, Chunhong Zhou, John Bailey, Matthew Byrne, Chiting Chang, Steve Chen, Claudia Dennler, Samantha Dennler, Vivian Dien, Derek Fuller, Francisco Garcia, Minghao Guo, Ryan Kelley, Omid Khandan, Michael Klein, Michael Kim, Bill Lin, Yu Liu, Tyler Lopez, Peter Mains, Andrew Price, Hermes Taylor, Ramreddy Tippana, Austin Tomaney, Richard Zhang, Minna Abtahi, Mark Ambroso, Rosi Bajari, Ava Bellizi, Chris Benitez, Daniel Berard, Lorenzo Berti, Kelly Blease, Angela Blum, Andrew Boddicker, Leo Bondar, Chris Bui, Kevin Cappa, Joshua Chan, Victor Chang, Katia Charov, Xiyi Chen, Rodger Constandse, Weston Damron, Mariam Dawood, Nicole Debruno, John Dmalanta, Laure Edoli, Keerthi Elango, Nikka Faustino, Chao Feng, Matthew Ferrari, Kieth Frankie, Adam Fries, Anne Galloway, Vlad Gavrila, Gregory Gemmen, James Ghadiali, Logan Goddard, Adriana Roginski, Garren Hendricks, Jendrick Hentschel, Doris Hseih, Yu-Hsein Hwang-fu, Scott Im, Chaoyi Jin, Daniel Kincade, Bryan Lajooie, Shawn Levy, Yu Li, Vincent Liang, William Light, Jonathan Lipsher, Tsungli Liu, Guixia Long, Rui Ma, Jack Mailloux, Kyle Mandla, Anyssa Martinez, Max Mass, Michael Meron, Celyne Moh, Rachel Moore, Juan Moreno, Jordan Neysmith, Cassandra Niman, Jesus Nunez, Micah Ojeda, Jenna Owens, Sara Espinosa Ortiz, Geoffrey Piland, Dan Proctor, Josua Purba, Michael Ray, Daisong Rong, Virginia Saade, Sanchari Saha, Luqmanal Sirajudeen, Gudrun Stengel, Ryan Stinson, Michael Stone, Keoni Sundseth, Eileen Thai, Connor Thompson, Gustav Santo Tomas, Christy Trejo, Greg Trieger, Diane Truong, Ben Tse, Benjamin Voiles, Henry Vuong, Jennifer Wong, Chiung-Ting Wu, Hua Yu, Ming Yu, Cindy Zhang, Da Zhao, Frank Zheng, Molly He, and Michael Previte

Abstract

We present a novel sequencing chemistry implemented as part of the AVITI system. Relying on the proximal DNA binding sites created through DNA amplification on a solid support, avidity sequencing uses multivalent nucleotide ligands on dye-labeled cores to simultaneously form polymerase-polymer nucleotide complexes bound to clonal copies of DNA targets. These polymer-nucleotide substrates, termed avidites, decrease the required concentration of reporting nucleotides by 100x and yield a negligible dissociation rate. We demonstrate the use of avidites within a novel sequencing technology that surpasses Q40 accuracy and enables a diversity of applications that include single cell RNA-seq and whole human genome sequencing.

Published
2022
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3. The Effect Reward Management Practices On Employee Engagement A Case Study On Varnero Construction

Author

Michael, Meron

Subjects
ComputingMilieux_MISCELLANEOUS
Abstract

Employee engagement has become a heavily discussed topic in recent years and it's not difficult to see why. It is necessary for high business return because highly engaged employees will put their proper efforts in organizations and organizations will grow with the passage of time. One way that has been lauded for enhancing employee engagement is the use of rewards. Therefore, this research examined the effect of reward management practices on employee engagement in the case of Varnero Construction. These specific reward management practices are compensation/pay, benefit, performance feedback and recognition, work life balance and development and career opportunity. The purpose of this survey primarily essential for organization to have engaged employees for high business return and better chance of meeting the overall objectives and goals In order to fulfill the research purpose, quantitative study was adopted. 333 questionnaires were distributed and 272 completed usable questionnaires for response rate of 8.17% returned. Stratified sampling method was used and employees were selected from each stratum with a simple random sampling technique. Subsequent to this SPSS was used to perform the required test of descriptive statistics, Pearson correlation and multiple regression analysis. The result revealed strong agreement of respondents to the effect of reward management practices on employee engagement. Finally, from the findings it is concluded that reward management practices have a positive and significant effect on employee engagement. Furthermore, it is also resulted that the effect of the two components namely: Performance feedback and recognition and Development and career opportunity on employee engagement was stronger as compared to the other three components. It indicated that integrated reward management approach has more significant relationship with engagement. Therefore, it is sound to recommend the organization to implement a total reward approach instead of standalone one The study will enrich the current literature of reward management practices and employee engagement.

Published
2017
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6. Transfer of Power.

Author

Michael, Meron Tesfa

Subjects
*ELECTIONS, KENYAN politics & government
Abstract

Comments on developments related to politics and government in Kenya. Plan of Kenyan President Daniel arap Moi to step down following the December 2002 presidential election; Focus on presidential candidates Uhuru Kenyatta and Mwai Kibaki; Region-based newspapers' coverage of the election.

Published
2003

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