000 02223nam a22002777a 4500
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005 20250618152923.0
008 250618b |||||||| |||| 00| 0 eng d
020 _a9780323983525
_q(paperback)
040 _erda
_aSai University Library
082 _223
_a572.86028557
_bABR
245 0 0 _aData science for genomics /
_cedited by Amit Kumar Tyagi, Ajith Abraham
260 _aLondon :
_aSan Diego :
_bAcademic Press,
_c[2023]
264 _aLondon :
_aSan Diego :
_bAcademic Press,
_c[2023]
_c©2023
336 _2rdacontent
_atext
_btxt
337 _2rdamedia
_aunmediated
_bn
338 _2rdacarrier
_avolume
_bnc
504 _aIncludes bibliographical references and index
520 _aData Science for Genomics presents the foundational concepts of data science as they pertain to genomics, encompassing the process of inspecting, cleaning, transforming, and modeling data with the goal of discovering useful information, suggesting conclusions and supporting decision-making. Sections cover Data Science, Machine Learning, Deep Learning, data analysis, and visualization techniques. The authors then present the fundamentals of Genomics, Genetics, Transcriptomes and Proteomes as basic concepts of molecular biology, along with DNA and key features of the human genome, as well as the genomes of eukaryotes and prokaryotes. Techniques that are more specifically used for studying genomes are then described in the order in which they are used in a genome project, including methods for constructing genetic and physical maps. DNA sequencing methodology and the strategies used to assemble a contiguous genome sequence and methods for identifying genes in a genome sequence and determining the functions of those genes in the cell. Readers will learn how the information contained in the genome is released and made available to the cell, as well as methods centered on cloning and PCR.
650 _aGenomics
_xData processing
650 _aMolecular biology
_xData processing
700 _aTyagi, Amit Kumar
_eeditor
700 _aAbraham, Ajith
_eeditor
856 4 2 _3Table of Contents only
_uhttps://www.sciencedirect.com/book/9780323983525/data-science-for-genomics#browse-content
942 _2ddc
_cBK
999 _c6784
_d6784