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Książki na temat „Sequence alignment”

Autor: Grafiati

Data publikacji: 4 czerwca 2021

Data aktualizacji: 5 października 2024

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1

Katoh, Kazutaka, red. Multiple Sequence Alignment. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1036-7.

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2

Russell, David J., red. Multiple Sequence Alignment Methods. Totowa, NJ: Humana Press, 2014. http://dx.doi.org/10.1007/978-1-62703-646-7.

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3

Russell, David James. Multiple sequence alignment methods. New York: Humana Press, 2014.

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4

DeBlasio, Dan, i John Kececioglu. Parameter Advising for Multiple Sequence Alignment. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-64918-4.

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5

1972-, Rosenberg Michael S., red. Sequence alignment: Methods, models, concepts, and strategies. Berkeley: University of California Press, 2009.

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6

Louxin, Zhang, red. Sequence comparison: Theory and methods. London: Springer, 2009.

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7

Sharma, Kal Renganathan. Bioinformatics. New York: McGraw-Hill, 2008.

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8

Nguyen, Ken, Xuan Guo i Yi Pan. Multiple Biological Sequence Alignment: Scoring Functions, Algorithms and Applications. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2016. http://dx.doi.org/10.1002/9781119273769.

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9

Chou, Wan-Sheng. Distributed computing system for bioinformatics: Sequence alignment with Smith-Waterman. [s.l: The Author], 2005.

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10

Perrey, Sören W. Fast approximation to the NP-hard problem of multiple sequence alignment. Palmerston North, N.Z: Faculty of Information and Mathematical Sciences, Massey University, 1996.

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11

Kuziemko, Andrew Stephen. Using structure to explore the sequence alignment space of remote homologs. [New York, N.Y.?]: [publisher not identified], 2011.

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12

Rodríguez-Ezpeleta, Naiara, Michael Hackenberg i Ana M. Aransay. Bioinformatics for high throughput sequencing. New York, NY: Springer, 2012.

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13

Larson, Stefan M. A comprehensive sequence alignment analysis and structure comparison of the SH3 domain family. Ottawa: National Library of Canada, 1999.

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14

Sperlea, Theodor. Multiple Sequence Alignments. Berlin, Heidelberg: Springer Berlin Heidelberg, 2022. http://dx.doi.org/10.1007/978-3-662-64473-7.

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15

Raffel, Colin. Learning-Based Methods for Comparing Sequences, with Applications to Audio-to-MIDI Alignment and Matching. [New York, N.Y.?]: [publisher not identified], 2016.

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16

Rosenberg, Michael S., red. Sequence Alignment. University of California Press, 2009. http://dx.doi.org/10.1525/9780520943742.

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17

Russell, David J. Multiple Sequence Alignment Methods. Humana Press, 2016.

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18

Rosenberg, Michael S. Sequence Alignment: Methods, Models, Concepts, and Strategies. University of California Press, 2009.

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19

Next generation sequencing technologies and challenges in sequence assembly. Springer, 2014.

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20

El-Metwally, Sara, Osama M. Ouda i Mohamed Helmy. Next Generation Sequencing Technologies and Challenges in Sequence Assembly. Springer, 2014.

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21

DeBlasio, Dan, i John Kececioglu. Parameter Advising for Multiple Sequence Alignment. Springer, 2019.

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22

Katoh, Kazutaka. Multiple Sequence Alignment: Methods and Protocols. Humana Press, 2020.

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23

Katoh, Kazutaka. Multiple Sequence Alignment: Methods and Protocols. Springer, 2020.

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24

Bioinformatics: Sequence alignment and Markov models. New York: McGraw-Hill, 2009.

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25

Parameter Advising for Multiple Sequence Alignment. Springer, 2018.

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26

Homology modeling: Methods and protocols. New York: Humana Press, 2012.

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27

Rosenberg, PH Michael S., i PH Michael S. Rosenberg. Sequence Alignment: Methods, Models, Concepts, and Strategies. University of California Press, 2009.

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28

Rosenberg, Michael S. Sequence Alignment: Methods, Models, Concepts, and Strategies. University of California Press, 2011.

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29

Thompson, Julie. Statistics for Bioinformatics: Methods for Multiple Sequence Alignment. Elsevier, 2016.

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30

Thompson, Julie. Statistics for Bioinformatics: Methods for Multiple Sequence Alignment. Elsevier, 2016.

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31

Pan, Yi, Xuan Guo i Ken Nguyen. Multiple Biological Sequence Alignment: Scoring Functions, Algorithms and Evaluation. Wiley & Sons, Incorporated, John, 2016.

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32

Pan, Yi, Xuan Guo i Ken Nguyen. Multiple Biological Sequence Alignment: Scoring Functions, Algorithms and Evaluation. Wiley & Sons, Incorporated, John, 2016.

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33

Pan, Yi, Xuan Guo i Ken Nguyen. Multiple Biological Sequence Alignment: Scoring Functions, Algorithms and Evaluation. Wiley & Sons, Limited, John, 2016.

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34

Pan, Yi, Xuan Guo i Ken Nguyen. Multiple Biological Sequence Alignment: Scoring Functions, Algorithms and Evaluation. Wiley & Sons, Limited, John, 2016.

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35

Next-generation sequencing : current technologies and applications. Caister Academic Press, 2014.

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36

Rodríguez-Ezpeleta, Naiara, Ana M. Aransay i Michael Hackenberg. Bioinformatics for High Throughput Sequencing. Springer, 2014.

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37

Rodríguez-Ezpeleta, Naiara, Ana M. Aransay i Michael Hackenberg. Bioinformatics for High Throughput Sequencing. Springer, 2011.

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38

United States Government Environmental Protection Agency i EPA. Sequence Alignment to Predict Across Species Susceptibility (SeqAPASS) Version 6. 0 User Guide 2021. Independently Published, 2022.

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39

Grammar For Language And Genes Theoretical And Empirical Investigations. Springer, 2011.

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40

Archery. Human Kinetics, 2013. http://dx.doi.org/10.5040/9781718218666.

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If you’re serious about improving accuracy, increasing consistency, and achieving competitive success, Archery is your guide. Featuring the in-depth instruction, insight, and advice from the world’s top coaches and archers, Archery sets a new standard in resources for those who compete with the recurve or compound bow. Archery includes a wealth of information on perfecting stance, body alignment, muscle recruitment, and shot sequence. You’ll master the skills and techniques taught at the U.S. Olympic Training Center by legendary coach KiSik Lee. Then you’ll prepare for competition: • Select and properly tune equipment. • Develop a winning shot sequence. • Set up, draw, and complete the shot. • Maximize practice time. • Train physically and mentally for competition. • Develop a successful tournament strategy. Developed by USA Archery, Archery is an invaluable resource you’ll refer to again and again.

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41

Anderson, Catherine L. Assessing Multiple Sequence Alignments Using Visual Tools. INTECH Open Access Publisher, 2011.

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42

Sperlea, Theodor. Multiple Sequence Alignments: Which Program Fits My Data? Springer Berlin / Heidelberg, 2022.

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43

Roth-Korostensky, Chantal. Algorithms for building multiple sequence alignments and evolutionary trees. 2000.

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44

Ismail, Hamid D. Bioinformatics: A Practical Guide to NCBI Databases and Sequence Alignments. Taylor & Francis Group, 2022.

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45

Bioinformatics: A Practical Guide to NCBI Databases and Sequence Alignments. CRC Press LLC, 2022.

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46

Ismail, Hamid D. Bioinformatics: A Practical Guide to NCBI Databases and Sequence Alignments. Taylor & Francis Group, 2022.

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47

Ismail, Hamid D. Bioinformatics: A Practical Guide to NCBI Databases and Sequence Alignments. Taylor & Francis Group, 2022.

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48

Gordon, Robert S. C. Race. Redaktor R. J. B. Bosworth. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199594788.013.0017.

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Whereas Hitler's Germany was centrally structured around a racial or racist ideology, a form of ‘Aryan’ anti-Semitism, Mussolini and the Italy of the ventennio were only marginally and latterly interested in questions of race, and then only for contingent or tactical reasons to do with Italy's political alignment with Nazi Germany. If the former was a ‘racial state’, the latter – even as it pursued, at times, an aggressive politics of race – was not. This article compares fascist Italy and Nazi Germany on questions of race in the light of such new insights and emphases, offering a snapshot of current thinking about the role of race in the ideology, historical reality, and ‘essential nature’ of fascism. It looks at the two regimes in parallel, in a sequence moving from origins, to legislation and action once in power, to the extremes of racial violence both reached in their final years.

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49

Lawrence, Gwen. Teaching Power Yoga for Sports. Human Kinetics, 2019. http://dx.doi.org/10.5040/9781718225664.

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Show your athletes how power yoga can propel their performance to the next level. Teaching Power Yoga for Sports prepares you to develop and teach yoga programs that are directly relatable to specific sports and player positions, resulting in more resilient athletes who consistently compete at the top of their game. Author Gwen Lawrence has devoted her career to working with professional sports teams, NBA and MLB coaches, and elite athletes. Her approach, and its results, is unparalleled. She takes into account the athlete’s training cycle, where they are in their season, the position they play, and common movements and injuries in the sport. In this book, she offers detailed, easy-to-implement instruction on the following: • Safe and effective poses that complement common movements for a variety of sports • Numerous yoga routines, organized by sport and season • Ways to spot and fix posture and alignment imbalances before injury occurs • Five restorative sequences to facilitate recovery and long-term stability • Six facets of Power Yoga for Sports: balance, strength, flexibility, focus, breathing, and mental toughness • Mindfulness tools for developing focus and determination With Teaching Power Yoga for Sports, you will strengthen your athletes and enhance their performance, allowing them to thrive in a long and successful sporting career.

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50

McAllister, Lesley S. Yoga in the Music Studio. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190915001.001.0001.

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The ancient practice of yoga, which has exploded in popularity in the United States over the past two decades, has the potential to help music students learn to practice more mindfully and reach peak performance more quickly. This book explores how professional musicians and music teachers of all instruments and levels can use yoga postures (asana) and breath work (pranayama) to enhance artistry. It begins with an overview of yoga philosophy and history before delving into principles of movement, alignment, anatomy, and breath. Following a research-oriented chapter illustrating the cognitive, physical, and emotional benefits of yoga, each chapter explores the unique benefits of yoga for a particular population of students, describing specific poses, modifications, sequences, and sample curricula that teachers can immediately implement into private lessons or group classes. Chapter Four describes the developmental benefits of yoga and music education in early childhood and includes a sample eight-week preschool music curriculum. Chapter Five on the adolescent student explains how yoga can alleviate stress related to social and performance anxiety, enhance mindfulness, and increase peer support in a music studio. Chapter Six, for professional musicians and college students, describes how yoga can prevent or alleviate repetitive stress injuries and other physical symptoms. The final chapter offers ideas for appropriate modifications for the retired adult along with a sample eight-week curriculum to combine yoga with Recreational Music Making. Throughout the book, yoga is presented as a tool for reducing physical tension and anxiety while simultaneously improving body awareness, enhancing cognition, and helping music students to achieve peak performance.

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