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Mendeley readers
| Chapter title |
Overview of Sequence Data Formats
|
|---|---|
| Chapter number | 1 |
| Book title |
Statistical Genomics
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3578-9_1 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3576-5, 978-1-4939-3578-9
|
| Authors |
Hongen Zhang, Zhang, Hongen |
| Editors |
Ewy Mathé, Sean Davis |
| Abstract |
Next-generation sequencing experiment can generate billions of short reads for each sample and processing of the raw reads will add more information. Various file formats have been introduced/developed in order to store and manipulate this information. This chapter presents an overview of the file formats including FASTQ, FASTA, SAM/BAM, GFF/GTF, BED, and VCF that are commonly used in analysis of next-generation sequencing data. |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Sweden | 1 | 2% |
| Unknown | 65 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 11 | 17% |
| Student > Bachelor | 8 | 12% |
| Student > Doctoral Student | 8 | 12% |
| Student > Ph. D. Student | 6 | 9% |
| Researcher | 3 | 5% |
| Other | 8 | 12% |
| Unknown | 22 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 23% |
| Computer Science | 10 | 15% |
| Agricultural and Biological Sciences | 9 | 14% |
| Engineering | 3 | 5% |
| Unspecified | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 21 | 32% |