| Chapter title |
Perl One-Liners: Bridging the Gap Between Large Data Sets and Analysis Tools.
|
|---|---|
| Chapter number | 15 |
| Book title |
Celiac Disease
|
| Published in |
Methods in molecular biology, January 2015
|
| DOI | 10.1007/978-1-4939-2839-2_15 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2838-5, 978-1-4939-2839-2
|
| Authors |
Hokamp, Karsten, Karsten Hokamp |
| Abstract |
Computational analyses of biological data are becoming increasingly powerful, and researchers intending on carrying out their own analyses can often choose from a wide array of tools and resources. However, their application might be obstructed by the wide variety of different data formats that are in use, from standard, commonly used formats to output files from high-throughput analysis platforms. The latter are often too large to be opened, viewed, or edited by standard programs, potentially leading to a bottleneck in the analysis. Perl one-liners provide a simple solution to quickly reformat, filter, and merge data sets in preparation for downstream analyses. This chapter presents example code that can be easily adjusted to meet individual requirements. An online version is available at http://bioinf.gen.tcd.ie/pol . |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Ireland | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 33% |
| Student > Ph. D. Student | 1 | 17% |
| Unknown | 3 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 1 | 17% |
| Agricultural and Biological Sciences | 1 | 17% |
| Medicine and Dentistry | 1 | 17% |
| Unknown | 3 | 50% |