Bioinformatics algorithms: an active learning approach
Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Open Online Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed MOOC on Coursera, this book presents students with a dynamic approa...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
La Jolla, CA
Active Learning Publ.
2014
|
| Edition: | 2. print. |
| Subjects: | |
| Online Access: | Book website |
| Summary: | Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Open Online Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed MOOC on Coursera, this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of both biology and computer science. Each chapter begins with a central biological question, such as "Are There Fragile Regions in the Human Genome?" or "Which DNA Patterns Play the Role of Molecular Clocks?" and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on the Rosalind Bioinformatics Textbook Track. A website augments the textbook by providing additional educational materials, including video lectures and PowerPoint slides.. |
| Item Description: | Includes bibliographical references (pages 357-362) |
| Physical Description: | XXII, 362 S. graph. Darst., Ill. 23 cm |
| ISBN: | 9780990374602 |
Staff View
MARC
| LEADER | 00000nam a2200000 c 4500 | ||
|---|---|---|---|
| 001 | BV042825523 | ||
| 003 | DE-604 | ||
| 005 | 20171221 | ||
| 007 | t| | ||
| 008 | 150910s2014 xxuad|| |||| 00||| eng d | ||
| 010 | |a 014908354 | ||
| 020 | |a 9780990374602 |9 978-0-9903746-0-2 | ||
| 035 | |a (OCoLC)922703503 | ||
| 035 | |a (DE-599)BVBBV042825523 | ||
| 040 | |a DE-604 |b ger |e aacr | ||
| 041 | 0 | |a eng | |
| 044 | |a xxu |c US | ||
| 049 | |a DE-19 | ||
| 050 | 0 | |a QH324.2 | |
| 082 | 0 | |a 570.285 |2 23 | |
| 084 | |a WC 7700 |0 (DE-625)148144: |2 rvk | ||
| 100 | 1 | |a Compeau, Phillip |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Bioinformatics algorithms |b an active learning approach |c Phillip Compeau & Pavel Pevzner |
| 250 | |a 2. print. | ||
| 264 | 1 | |a La Jolla, CA |b Active Learning Publ. |c 2014 | |
| 300 | |a XXII, 362 S. |b graph. Darst., Ill. |c 23 cm | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Includes bibliographical references (pages 357-362) | ||
| 520 | |a Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Open Online Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed MOOC on Coursera, this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of both biology and computer science. Each chapter begins with a central biological question, such as "Are There Fragile Regions in the Human Genome?" or "Which DNA Patterns Play the Role of Molecular Clocks?" and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on the Rosalind Bioinformatics Textbook Track. A website augments the textbook by providing additional educational materials, including video lectures and PowerPoint slides.. | ||
| 650 | 4 | |a Mathematik | |
| 650 | 4 | |a Bioinformatics |x Mathematics | |
| 650 | 4 | |a Computational biology | |
| 650 | 4 | |a Computer algorithms | |
| 650 | 0 | 7 | |a Algorithmus |0 (DE-588)4001183-5 |2 gnd |9 rswk-swf |
| 650 | 0 | 7 | |a Bioinformatik |0 (DE-588)4611085-9 |2 gnd |9 rswk-swf |
| 655 | 7 | |8 1\p |0 (DE-588)4123623-3 |a Lehrbuch |2 gnd-content | |
| 689 | 0 | 0 | |a Bioinformatik |0 (DE-588)4611085-9 |D s |
| 689 | 0 | 1 | |a Algorithmus |0 (DE-588)4001183-5 |D s |
| 689 | 0 | |8 2\p |5 DE-604 | |
| 700 | 1 | |a Pevzner, Pavel |e Verfasser |0 (DE-588)101596737X |4 aut | |
| 856 | 4 | |u http://bioinformaticsalgorithms.com |3 Book website | |
| 883 | 1 | |8 1\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 883 | 1 | |8 2\p |a cgwrk |d 20201028 |q DE-101 |u https://d-nb.info/provenance/plan#cgwrk | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-028254857 | |
Record in the Search Index
| _version_ | 1817514860694470656 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Compeau, Phillip Pevzner, Pavel |
| author_GND | (DE-588)101596737X |
| author_facet | Compeau, Phillip Pevzner, Pavel |
| author_role | aut aut |
| author_sort | Compeau, Phillip |
| author_variant | p c pc p p pp |
| building | Verbundindex |
| bvnumber | BV042825523 |
| callnumber-first | Q - Science |
| callnumber-label | QH324 |
| callnumber-raw | QH324.2 |
| callnumber-search | QH324.2 |
| callnumber-sort | QH 3324.2 |
| callnumber-subject | QH - Natural History and Biology |
| classification_rvk | WC 7700 |
| ctrlnum | (OCoLC)922703503 (DE-599)BVBBV042825523 |
| dewey-full | 570.285 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 570 - Biology |
| dewey-raw | 570.285 |
| dewey-search | 570.285 |
| dewey-sort | 3570.285 |
| dewey-tens | 570 - Biology |
| discipline | Biologie |
| edition | 2. print. |
| format | Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>00000nam a2200000 c 4500</leader><controlfield tag="001">BV042825523</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">20171221</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">150910s2014 xxuad|| |||| 00||| eng d</controlfield><datafield tag="010" ind1=" " ind2=" "><subfield code="a">014908354</subfield></datafield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9780990374602</subfield><subfield code="9">978-0-9903746-0-2</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)922703503</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV042825523</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">aacr</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">xxu</subfield><subfield code="c">US</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-19</subfield></datafield><datafield tag="050" ind1=" " ind2="0"><subfield code="a">QH324.2</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">570.285</subfield><subfield code="2">23</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">WC 7700</subfield><subfield code="0">(DE-625)148144:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Compeau, Phillip</subfield><subfield code="e">Verfasser</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Bioinformatics algorithms</subfield><subfield code="b">an active learning approach</subfield><subfield code="c">Phillip Compeau & Pavel Pevzner</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">2. print.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">La Jolla, CA</subfield><subfield code="b">Active Learning Publ.</subfield><subfield code="c">2014</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">XXII, 362 S.</subfield><subfield code="b">graph. Darst., Ill.</subfield><subfield code="c">23 cm</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references (pages 357-362)</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Open Online Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed MOOC on Coursera, this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of both biology and computer science. Each chapter begins with a central biological question, such as "Are There Fragile Regions in the Human Genome?" or "Which DNA Patterns Play the Role of Molecular Clocks?" and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on the Rosalind Bioinformatics Textbook Track. A website augments the textbook by providing additional educational materials, including video lectures and PowerPoint slides..</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mathematik</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Bioinformatics</subfield><subfield code="x">Mathematics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computational biology</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Computer algorithms</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Algorithmus</subfield><subfield code="0">(DE-588)4001183-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bioinformatik</subfield><subfield code="0">(DE-588)4611085-9</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="8">1\p</subfield><subfield code="0">(DE-588)4123623-3</subfield><subfield code="a">Lehrbuch</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Bioinformatik</subfield><subfield code="0">(DE-588)4611085-9</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Algorithmus</subfield><subfield code="0">(DE-588)4001183-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="8">2\p</subfield><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Pevzner, Pavel</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)101596737X</subfield><subfield code="4">aut</subfield></datafield><datafield tag="856" ind1="4" ind2=" "><subfield code="u">http://bioinformaticsalgorithms.com</subfield><subfield code="3">Book website</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="883" ind1="1" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">cgwrk</subfield><subfield code="d">20201028</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#cgwrk</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-028254857</subfield></datafield></record></collection> |
| genre | 1\p (DE-588)4123623-3 Lehrbuch gnd-content |
| genre_facet | Lehrbuch |
| id | DE-604.BV042825523 |
| illustrated | Illustrated |
| indexdate | 2024-12-04T13:00:42Z |
| institution | BVB |
| isbn | 9780990374602 |
| language | English |
| lccn | 014908354 |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-028254857 |
| oclc_num | 922703503 |
| open_access_boolean | |
| owner | DE-19 DE-BY-UBM |
| owner_facet | DE-19 DE-BY-UBM |
| physical | XXII, 362 S. graph. Darst., Ill. 23 cm |
| publishDate | 2014 |
| publishDateSearch | 2014 |
| publishDateSort | 2014 |
| publisher | Active Learning Publ. |
| record_format | marc |
| spelling | Compeau, Phillip Verfasser aut Bioinformatics algorithms an active learning approach Phillip Compeau & Pavel Pevzner 2. print. La Jolla, CA Active Learning Publ. 2014 XXII, 362 S. graph. Darst., Ill. 23 cm txt rdacontent n rdamedia nc rdacarrier Includes bibliographical references (pages 357-362) Bioinformatics Algorithms: an Active Learning Approach is one of the first textbooks to emerge from the recent Massive Open Online Course (MOOC) revolution. A light-hearted and analogy-filled companion to the authors' acclaimed MOOC on Coursera, this book presents students with a dynamic approach to learning bioinformatics. It strikes a unique balance between practical challenges in modern biology and fundamental algorithmic ideas, thus capturing the interest of students of both biology and computer science. Each chapter begins with a central biological question, such as "Are There Fragile Regions in the Human Genome?" or "Which DNA Patterns Play the Role of Molecular Clocks?" and then steadily develops the algorithmic sophistication required to answer this question. Hundreds of exercises are incorporated directly into the text as soon as they are needed; readers can test their knowledge through automated coding challenges on the Rosalind Bioinformatics Textbook Track. A website augments the textbook by providing additional educational materials, including video lectures and PowerPoint slides.. Mathematik Bioinformatics Mathematics Computational biology Computer algorithms Algorithmus (DE-588)4001183-5 gnd rswk-swf Bioinformatik (DE-588)4611085-9 gnd rswk-swf 1\p (DE-588)4123623-3 Lehrbuch gnd-content Bioinformatik (DE-588)4611085-9 s Algorithmus (DE-588)4001183-5 s 2\p DE-604 Pevzner, Pavel Verfasser (DE-588)101596737X aut http://bioinformaticsalgorithms.com Book website 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Compeau, Phillip Pevzner, Pavel Bioinformatics algorithms an active learning approach Mathematik Bioinformatics Mathematics Computational biology Computer algorithms Algorithmus (DE-588)4001183-5 gnd Bioinformatik (DE-588)4611085-9 gnd |
| subject_GND | (DE-588)4001183-5 (DE-588)4611085-9 (DE-588)4123623-3 |
| title | Bioinformatics algorithms an active learning approach |
| title_auth | Bioinformatics algorithms an active learning approach |
| title_exact_search | Bioinformatics algorithms an active learning approach |
| title_full | Bioinformatics algorithms an active learning approach Phillip Compeau & Pavel Pevzner |
| title_fullStr | Bioinformatics algorithms an active learning approach Phillip Compeau & Pavel Pevzner |
| title_full_unstemmed | Bioinformatics algorithms an active learning approach Phillip Compeau & Pavel Pevzner |
| title_short | Bioinformatics algorithms |
| title_sort | bioinformatics algorithms an active learning approach |
| title_sub | an active learning approach |
| topic | Mathematik Bioinformatics Mathematics Computational biology Computer algorithms Algorithmus (DE-588)4001183-5 gnd Bioinformatik (DE-588)4611085-9 gnd |
| topic_facet | Mathematik Bioinformatics Mathematics Computational biology Computer algorithms Algorithmus Bioinformatik Lehrbuch |
| url | http://bioinformaticsalgorithms.com |
| work_keys_str_mv | AT compeauphillip bioinformaticsalgorithmsanactivelearningapproach AT pevznerpavel bioinformaticsalgorithmsanactivelearningapproach |