Signal, noise, and bias in yeast MNase-seq data
| dc.contributor.author | MacAlpine, David Michael | |
| dc.date.accessioned | 2015-11-30T19:40:51Z | |
| dc.date.available | 2015-11-30T19:40:51Z | |
| dc.date.issued | 2014 | |
| dc.description.abstract | This is an optional challenge for students interested in applying what we have learned in class to a real computational genomics research problem; practicing the skills of using Python or R (or any other tool you wish) to visualize, analyze, model, and interpret real genomic data; and exploring the science linking chromatin structure and transcriptional regulation. Since this problem represents an open challenge for the genomics community, you are free to choose the approaches you use to analyze the data, as well as the questions you explore. | |
| dc.description.sponsorship | COMPSCI 260: Introduction to Computational Genomics | |
| dc.identifier.uri | ||
| dc.language.iso | en_US | |
| dc.subject | Data Expeditions | |
| dc.subject | Natural Sciences | |
| dc.title | Signal, noise, and bias in yeast MNase-seq data | |
| dc.type | Dataset |
Files
Original bundle
- Name:
- Deniz_in_vitro_fragments_chr1-12.zip
- Size:
- 38.81 MB
- Format:
- Unknown data format
- Name:
- Henikoff_in_vitro_fragments_chr1-12.zip
- Size:
- 173.61 MB
- Format:
- Unknown data format
- Name:
- yeast_reference_genome_sacCer2_2008.zip
- Size:
- 3.65 MB
- Format:
- Unknown data format