Microbial Informatics and Experimentation | Full text | Beginner's guide to comparative bacterial genome analysis using next-generation sequence data

http://www.microbialinformaticsj.com/content/3/1/2

Evaluating cell lines as tumour models by comparison of genomic profiles : Nature Communications : Nature Publishing Group

http://www.nature.com/ncomms/2013/130709/ncomms3126/full/ncomms3126.html

The Exomes of the NCI-60 Panel: A Genomic Resource for Cancer Biology and Systems Pharmacology (EXOME DATA)

http://cancerres.aacrjournals.org/content/73/14/4372.abstract

Estimating and interpreting Fst: the impact of rare variants

http://genome.cshlp.org/content/early/2013/07/16/gr.154831.113.abstract.html?papetoc

A comparative analysis of algorithms for somatic SNV detection in cancer

http://bioinformatics.oxfordjournals.org/content/early/2013/07/13/bioinformatics.btt375.short?rss=1&utm_content=buffer2860e&utm_source=buffer&utm_medium=twitter&utm_campaign=Buffer

Polyadenylation site–induced decay of upstream transcripts enforces promoter directionality : Nature Structural & Molecular Biology : Nature Publishing Group

http://www.nature.com/nsmb/journal/vaop/ncurrent/abs/nsmb.2640.html

Identifying driver mutations from sequencing data of heterogeneous tumors in the era of personalized genome sequencing

http://bib.oxfordjournals.org/content/early/2013/07/01/bib.bbt042.short?rss=1&utm_content=bufferd117e&utm_source=buffer&utm_medium=twitter&utm_campaign=Buffer

BMC Genomics | Full text | Large-scale integrative network-based analysis identifies common pathways disrupted by copy number alterations across cancers

http://www.biomedcentral.com/1471-2164/14/440?utm_content=buffer6ad6c&utm_source=buffer&utm_medium=twitter&utm_campaign=Buffer

Trends in Genetics - Human housekeeping genes, revisited

http://www.cell.com/trends/genetics//retrieve/pii/S0168952513000899?_returnURL=http://linkinghub.elsevier.com/retrieve/pii/S0168952513000899?showall=true

Genome Biology | Abstract | Transcriptome analysis of human tissues and cell lines reveals one dominant transcript per gene

http://genomebiology.com/2013/14/7/R70/abstract