{"id":167,"date":"2019-12-03T13:38:42","date_gmt":"2019-12-03T21:38:42","guid":{"rendered":"http:\/\/localhost:8888\/wordpress\/?page_id=167"},"modified":"2019-12-03T15:40:11","modified_gmt":"2019-12-03T23:40:11","slug":"resources","status":"publish","type":"page","link":"http:\/\/localhost:8888\/wordpress\/resources\/","title":{"rendered":"resources"},"content":{"rendered":"
Below is a compilation of resources that I often refer to for various purposes – from data visualization to sequence format conversion. With any luck, they’ll be as helpful to you as they have been to me!<\/p>\n
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via the command line<\/span><\/em><\/p>\n sam\/bam manipulation: Dave Tang’s excellent repo of samtools commands<\/a><\/p>\n biom manipulation:\u00a0 format conversion<\/a>;\u00a0metadata supplementation<\/a><\/p>\n <\/p>\n via the web<\/em>\u00a0<\/span><\/p>\n multiple sequence alignment (MSA) conversion: ALTER – a convenient web interface for MSA format conversion (especially good with phylip)<\/a><\/p>\n MSA and unaligned format conversion: Los Alamos National Lab’s sequence format converter (good for aligned or unaligned)<\/a><\/p>\n <\/p>\n default dada2-formatted reference databases<\/a><\/p>\n Silva 132 and RDP 11.5 databases (dada2 format) updated with key vaginal taxa and associated performance metrics<\/a><\/p>\n <\/p>\n an excellent resource for diving into statistical learning, from the masters<\/a><\/p>\n16S\/18S sequence annotation<\/h3>\n
Statistics<\/h3>\n