Bioinformatics thru R Language - Part 4

  • R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R provides a wide variety of statistical and graphical techniques, and is highly extensible.One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. R is an open source alternative to SAS. That way R is highly matured and better than SAS for all needs of numerical analysis and other quantitative techniques. R is free and can be obtained from https://www.r-project.org. This video deals with gene sequence analysis.

R is a language and environment for statistical computing and graphics. It is a GNU project which is similar to the S language and environment which was developed at Bell Laboratories (formerly AT&T, now Lucent Technologies) by John Chambers and colleagues. R provides a wide variety of statistical and graphical techniques, and is highly extensible.One of R’s strengths is the ease with which well-designed publication-quality plots can be produced, including mathematical symbols and formulae where needed. R is an open source alternative to SAS. That way R is highly matured and better than SAS for all needs of numerical analysis and other quantitative techniques. R is free and can be obtained fromhttps://www.r-project.org. This video deals with gene sequence analysis.