رکورد قبلیرکورد بعدی

" Bioinformatics for evolutionary biologists : "


Document Type : BL
Record Number : 810065
Doc. No : GBB8J9984b624081
Main Entry : Haubold, Bernhard,1967-
Title & Author : Bioinformatics for evolutionary biologists : : a problems approach /\ Bernhard Haubold, Angelika Börsch-Haubold.
Page. NO : 1 online resource (x, 318 pages) :: illustrations (some color)
ISBN : 9783319673950
: : 3319673955
: : 9783319673967
: : 3319673963
: : 9783319884240
: : 3319884247
: 9783319673943
: 3319673947
Bibliographies/Indexes : Includes bibliographical references and index.
Contents : The UNIX Command Line -- Constructing and Applying Optimal Alignments -- Exact Matching -- Fast Alignment -- Evolution between Species: Phylogeny -- Evolution within Populations -- Additional Topics.
Abstract : This self-contained textbook covers fundamental aspects of sequence analysis in evolutionary biology, including sequence alignment, phylogeny reconstruction, and coalescent simulation. It addresses these aspects through a series of over 400 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 three major operating systems for PCs: Microsoft Windows, Mac-OSX, and Linux. To learn using this powerful system, students analyze sample sequence data by applying generic tools, bioinformatics software, and over 40 programs specifically written for this course. 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 concepts and programs. By using practical computing to explore evolutionary concepts and sequence data, the book enables readers to tackle their own computational problems.
Subject : Bioinformatics.
Subject : Evolution (Biology)
Subject : Evolution.
Subject : Life sciences: general issues.
Subject : Biology, life sciences.
Subject : Molecular biology.
Subject : Science-- Life Sciences-- Evolution.
Subject : Computers-- Computer Science.
Subject : Science-- Life Sciences-- General.
Subject : Science-- Life Sciences-- Anatomy Physiology.
Subject : Bioinformatics.
Subject : Evolution (Biology)
Dewey Classification : ‭570.285‬
LC Classification : ‭QH324.2‬
Added Entry : Börsch-Haubold, Angelika
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