000 02448cam a22003735a 4500
001 18961979
005 20161017122005.0
008 160204s2015 caua frbd 001 0 eng d
010 _a 2015458838
020 _a9781449367374
035 _a(OCoLC)ocn916120899
040 _aYDXCP
_beng
_cYDXCP
_erda
_dNMT
_dIAX
_dMOU
_dOCLCF
_dNKM
_dDLC
_dEG-ScBUE
082 0 4 _a005.7
_bBUF
_222
100 1 _aBuffalo, Vince.
245 1 0 _aBioinformatics data skills /
_cVince Buffalo.
246 3 4 _aBioinformatics data skills :
_breproducible and robust research with open source tools
250 _a1st ed.
260 _aSebastopol :
_bO'Reilly,
_c2015.
300 _axxv, 507 p. :
_bill. ;
_c24 cm.
500 _aIndex : p. 483-507.
500 _aIncludes glossary.
504 _aBibliography : p. 479-482.
505 0 _aIdeology : data skills for robust and reproducible bioinformatics. How to learn bioinformatics -- Prerequisites : essential skills for getting started with a bioinformatics project. Setting up and managing a bioinformatics project -- Remedial Unix shell -- Working with remote machines -- Git for scientists -- Bioinformatics data -- Practice : bioinformatics data skills. Unix data tools -- A rapid introduction to the R language -- Working with range data -- Working with sequence data -- Working with alignment data -- Bioinformatics shell scripting, writing pipelines, and parallelizing tasks -- Out-of-memory approaches : Tabix and SGLite.
520 _aLearn the data skills necessary for turning large sequencing datasets into reproducible and robust biological findings. With this practical guide, you'll learn how to use freely available open source tools to extract meaning from large complex biological datasets. At no other point in human history has our ability to understand life's complexities been so dependent on our skills to work with and analyze data. This intermediate-level book teaches the general computational and data skills you need to analyze biological data. If you have experience with a scripting language like Python, you're ready to get started.
650 7 _aBioinformatics.
_2BUEsh
_95545
650 7 _aBig data.
_2BUEsh
_936502
650 7 _aDatabase management.
_2BUEsh
_911309
650 0 _aBiology
_xData processing.
_2BUEsh
650 0 _aInformation science.
_2BUEsh
650 0 _aDatabase Management Systems.
_2BUEsh
651 _2BUEsh
653 _bCOMSCI
_cOctober2016
942 _2ddc
999 _c22641
_d22613