Bioinformatics for Evolutionary Biologists A Problems Approach /
This self-contained textbook covers fundamental aspects of sequence analysis with special emphasis on evolutionary biology, including sequence alignment, exact matching, phylogeny reconstruction, and coalescent simulation. It addresses these topics through a series of over 800 computer problems, ran...
I tiakina i:
| Ngā kaituhi matua: | , |
|---|---|
| Kaituhi rangatōpū: | |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Cham :
Springer International Publishing : Imprint: Springer,
2023.
|
| Putanga: | 2nd ed. 2023. |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1007/978-3-031-20414-2 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-20414-2 | ||
| 003 | DE-He213 | ||
| 005 | 20260810170016.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 230203s2023 sz | o |||| 0|eng d | ||
| 020 | |a 9783031204142 |9 978-3-031-20414-2 | ||
| 024 | 7 | |a 10.1007/978-3-031-20414-2 |2 doi | |
| 050 | 4 | |a QH324.2-324.25 | |
| 072 | 7 | |a UY |2 bicssc | |
| 072 | 7 | |a PS |2 bicssc | |
| 072 | 7 | |a COM082000 |2 bisacsh | |
| 072 | 7 | |a PSAX |2 thema | |
| 082 | 0 | 4 | |a 570.285 |2 23 |
| 100 | 1 | |a Haubold, Bernhard. |e author. |0 (orcid)0000-0001-9442-4012 |1 https://orcid.org/0000-0001-9442-4012 |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Bioinformatics for Evolutionary Biologists |h [electronic resource] : |b A Problems Approach / |c by Bernhard Haubold, Angelika Börsch-Haubold. |
| 250 | |a 2nd ed. 2023. | ||
| 264 | 1 | |a Cham : |b Springer International Publishing : |b Imprint: Springer, |c 2023. | |
| 300 | |a 1 online resource (IX, 411 p. 155 illus.). |b 46 illus. in color. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 505 | 0 | |a Part I Problems -- 1 The Unix Command Line -- 1.1 Getting Started -- 1.2 Files, Directories, and Programs.-1.3 Scripts -- 2 Optimal Alignment -- 2.1 Keeping Score -- 2.2 Construction -- 2.3 Application -- 3 Exact Matching -- 3.1 Keyword Trees -- 3.2 Suffix Trees -- 3.3 Suffix Arrays -- 3.4 Text Compression -- 4 Fast Alignment -- 4.1 Global -- 4.2 Local -- 4.3 Glocal -- 4.4 Assembly -- 4.5 Multiple Sequences -- 5 Evolution Between Species: Phylogeny -- 5.1 Trees of Life -- 5.2 Rooted Trees -- 5.3 Unrooted Trees -- 6 Evolution within Populations -- 6.1 Descent from One or Two Parents -- 6.2 The Coalescent -- 7 Interrogating and Storing Data -- 7.1 Statistics -- 7.2 Relational Databases -- Part II Answers. -- 1 The Unix Command Line -- 1.1 Getting Started -- 1.2 Files, Directories, and Programs -- 1.3 Scripts -- 2 Optimal Alignment -- 2.1 Keeping Score -- 2.2 Construction -- 2.3 Application -- 3 Exact Matching -- 3.1 Keyword Trees -- 3.2 Suffix Trees -- 3.3 Suffix Arrays -- 3.4 Text Compression -- 4 Fast Alignment -- 4.1 Global -- 4.2 Local -- 4.3 Glocal -- 4.4 Assembly -- 4.5 Multiple Sequences -- 5 Evolution Between Species: Phylogeny -- 5.1 Trees of Life -- 5.2 Rooted Trees -- 5.3 Unrooted Trees -- 6 Evolution within Populations -- 6.1 Descent from One or Two Parents -- 6.2 The Coalescent -- 7 Interrogating and Storing Data -- 7.1 Statistics -- 7.2 Relational Databases -- A. Unix Guide -- B. Programs -- B.1 Own -- B.2 Biobox -- B.3 Third-Party -- References -- Index. | |
| 520 | |a This self-contained textbook covers fundamental aspects of sequence analysis with special emphasis on evolutionary biology, including sequence alignment, exact matching, phylogeny reconstruction, and coalescent simulation. It addresses these topics through a series of over 800 computer problems, ranging from elementary to research level, to enable learning by doing. Students solve the problems in the same computational environment used for decades in science – the Unix command line. This is available on all four major operating systems for PCs: Windows, macOS, chromeOS, and Linux. To learn using this powerful system, students analyze sample sequence data by applying generic tools, bioinformatics software, and over 50 programs specifically written for this course and available via GitHub. The solutions for all problems are included, making the book ideal for self-study. Problems are grouped into sections headed by an introduction and a list of new terms. By using practical computingto explore sequence data in an evolutionary context, the book enables readers to tackle their own computational problems. | ||
| 588 | |a Print version record. | ||
| 650 | 0 | |a Bioinformatics. | |
| 650 | 0 | |a Evolution (Biology). | |
| 650 | 1 | 4 | |a Bioinformatics. |
| 650 | 2 | 4 | |a Evolutionary Biology. |
| 650 | 2 | 4 | |a Computational and Systems Biology. |
| 700 | 1 | |a Börsch-Haubold, Angelika. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783031204135 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031204159 |
| 776 | 0 | 8 | |i Printed edition: |z 9783031204166 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/978-3-031-20414-2 |
| 912 | |a ZDB-2-SBL | ||
| 912 | |a ZDB-2-SXB | ||
| 950 | |a Biomedical and Life Sciences (SpringerNature-11642) | ||
| 950 | |a Biomedical and Life Sciences (R0) (SpringerNature-43708) | ||