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020 _a9781617791765
_9978-1-61779-176-5
024 7 _a10.1007/978-1-61779-176-5
_2doi
050 4 _aRB155-155.8
072 7 _aMFN
_2bicssc
072 7 _aMED107000
_2bisacsh
072 7 _aMFN
_2thema
082 0 4 _a616.042
_223
245 1 0 _aIn Silico Tools for Gene Discovery
_h[electronic resource] /
_cedited by Bing Yu, Marcus Hinchcliffe.
250 _a1st ed. 2011.
264 1 _aTotowa, NJ :
_bHumana Press :
_bImprint: Humana,
_c2011.
300 _aXI, 365 p. 110 illus., 3 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aMethods in Molecular Biology,
_x1940-6029 ;
_v760
505 0 _aAccessing and Selecting Genetic Markers from Available Resources -- Linkage Analysis -- Association Mapping -- The ForeSee (4C) Approach for Integrative Analysis in Gene Discovery -- R Statistical Tools for Gene Discovery -- In Silico PCR Analysis -- In Silico Analysis of the Exome for Gene Discovery -- In Silico Knowledge and Content Tracking -- Application of Gene Ontology to Gene Identification -- Phenotype Mining for Functional Genomics and Gene Discovery -- Conceptual Thinking for In Silico Prioritization of Candidate Disease Genes -- Web Tools for the Prioritization of Candidate Disease Genes -- Comparative View of In Silico DNA Sequencing Analysis Tools -- Mutation Surveyor: An In Silico Tool for Sequencing Analysis -- In Silico Searching for Disease-Associated Functional DNA Variants -- In Silico Prediction of Transcriptional Factor Binding Sites -- In Silico Prediction of Splice-Affecting Nucleotide Variants -- In Silico Tools for qPCR Assay Design and Data Analysis -- RNA Structure Prediction -- In Silico Prediction of Post-Translational Modifications -- In Silico Protein Motif Discovery and Structural Analysis.
520 _aAs functional genomics has become one of the major focuses in molecular biology, the need for more sophisticated tools to assist in the identification of the functionality of undefined genes and the correlation of DNA variants with a particular phenotype has increased greatly.  In Silico Tools for Gene Discovery collects many common and useful in silico tools available today.  The volume begins by investigating locus mapping information on linkage analysis, association mapping, integrative analysis, and exome analysis as well as tools for DNA marker selection, in silico PCR, and statistical analysis.  It continues with a section on gene discovery from a defined locus, including gene prioritization, knowledge tracking, and data mining, and concludes with several useful in silico tools presented for the functional characterization of genes, which include DNA sequencing analysis, variant characterization, as well as RNA and protein  analysis.  Written in the highly successful Methods in Molecular Biology™ series format, chapters include introductions to their respective topics, step-by-step, readily reproducible protocols, and vital notes on troubleshooting and avoiding known pitfalls.   Resourceful and easy to follow, In Silico Tools for Gene Discovery seeks to facilitate scientists with further key research on locus mapping, to accelerate gene identification, and to help ascertain the functionality of DNA variation.
650 0 _aMedical genetics.
650 1 4 _aMedical Genetics.
700 1 _aYu, Bing.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
700 1 _aHinchcliffe, Marcus.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9781617791758
776 0 8 _iPrinted edition:
_z9781617791772
776 0 8 _iPrinted edition:
_z9781493961887
830 0 _aMethods in Molecular Biology,
_x1940-6029 ;
_v760
856 4 0 _uhttps://doi.org/10.1007/978-1-61779-176-5
912 _aZDB-2-PRO
999 _c7357
_d7357