isaacs

var red = '#c00'
var white = '#fff'
console.log('<table border=0 cellspacing=0 cellpadding=0 style="line-height:10px">\n' + ([
  '111111111111111111',
  '1    1    1      1',
  '1  1 1  1 1  1 1 1',
  '1  1 1  1 1  1 1 1',
  '1  1 1    1  1 1 1',
  '111111  1111111111',

max-mapper

{
  "name": "fcc-ecfs",
  "version": "1.0.0",
  "gasket": {
    "main": [
      "gasket run import -- http://www.fcc.gov/files/ecfs/14-28/14-28-RAW-Solr-1.xml",
      null,
      "gasket run import -- http://www.fcc.gov/files/ecfs/14-28/14-28-RAW-Solr-2.xml",
      null,
      "gasket run import -- http://www.fcc.gov/files/ecfs/14-28/14-28-RAW-Solr-3a.xml",

hubgit

1. sudo aptitude install git php5-cli nodejs
2. npm install -g npm
3. npm install -g maxogden/dat
4. dat init
5. dat listen
6. Create a Twitter application and generate OAuth keys for your user - add the app and user credentials to stream.php.
7. composer init && composer require fennb/phirehose:dev-master && composer install
8. php stream.php | dat import -json
9. Install and start dat-editor then open dat-editor to browse the table.

mafintosh

var once = require('once')
var concurrent = 10
var pending = 0

through(function(data, enc, cb) {
  cb = once(cb)
  pending++
  if (pending < concurrent) cb()
  rr().write(data, function(err) {
    if (err) return cb(err)

vsbuffalo

# A quick function to save a PBM (http://en.wikipedia.org/wiki/Netpbm_format)
# visualize *a lot* of missing data pretty quickly (outside of R).

writeMissingPBM <- function(x, file) {
  dims <- dim(x)
  x[] <- as.integer(is.na(x))
  con <- file(file, open="wt")
  writeLines(sprintf("P1\n%d %d", ncol(x), nrow(x)), con)
  write.table(x, file=con, sep=" ", col.names=FALSE, row.names=FALSE, quote=FALSE)
  close(con)

ctb

https://www.youtube.com/watch?x-yt-cl=84359240&x-yt-ts=1421782837&feature=player_embedded&v=ZACVcJt0oJA#t=7303

Kai Blin: If we containerize all these things won’t it just encourage
worse software development practices; right now developers still need
to consider someone other than themselves installing the software.

Michael Barton:

“It’s a good point. Ultimately, though, if I can get a container, and
it works, and I know it will work, do you care how well it was

audy

#!/usr/bin/env node

var fs = require('fs');
var fasta = require('bionode-fasta');
var crypto = require('crypto');

fasta.obj('proteins.fasta').on('data', function(x) {
  var seq = x.seq
        .replace(/\*/g, '') // remove asterisks (stop codons)
        .toUpperCase();     // enforce case

mafintosh

var atomicQueue = require(...)

var queue = atomicQueue(db, function (data, cb) {
  console.log('got some work', data)
  // do stuff ...
  cb(null, result) // if no error this work will be removed from the leveldb
})

// write will add this 'work' to the leveldb
queue.write({some: 'world'})

vsbuffalo

library(magrittr)

write.table(iris, file="iris.txt", sep="\t", row.names=FALSE, quote=FALSE)

plines <- function(cmd) readLines(pipe(cmd))
ptabs <- function(cmd) read.delim(pipe(cmd))
 
# just as a trivial example, process some shuffled lines using GNU shuf, sort,
# etc. (we could do this in R, but this is to simulate command line operations)

lindenb

define run_fastqc

$$(addsuffix .ok,$(1)) : $(1)
	mkdir -p $$(dir $$@) && \
	unzip -p $$< $$(addsuffix .tmp_fastqc/fastqc_data.txt,$$(notdir $$<)) |\
		grep ">>" | grep -v ">>END_MODULE" | cut -c 3- |\
		awk -F '	' 'BEGIN{N=0;} {if(($$$$1=="Basic Statistics" || $$$$1=="Per base sequence quality" || $$$$1=="Per base N content") && $$$$2=="pass" ) N++;} END { if(N>2) {print "__PASS__"}}' |\
		grep __PASS__ && echo "FASTQC ok for $$<" > $$@